Program

The final program is available in 4 formats:
  • The “Schedule At A Glance” provides a bird’s eye view of the whole conference;
  • The tabs below, which provide a “condensed” view of all papers;
  • The complete program with papers, authors and affiliations, available for download in .pdf format, and;
  • A mobile app that will be available shortly before the conference start at http://eventmobi.com/icip2015
  • Top Papers

    In continuation with ICIP 2014, and based on reviewer scores and recommendations, 127 papers have been specifically recognized as the “Top 10%” ICIP 2015 papers. These papers are identified by a ★ in the technical program.





    MOBILE APP


    Schedule At A Glance
    Download PDF format (47Ko)

    Complete Program
    Download PDF format (2,7Mo)

    • Sunday, Sept. 27

      +

       

      TAM-T1: Deep Learning in Image Processing and Vision

      Sunday, 09:00-12:30

      Tutorial

      Room: 206A

       

       

      TAM-T2: HEVC/H.265 Video Coding Standard (v. 2) Including Range, Scalable, and Multiview Extensions

      Sunday, 09:00-12:30

      Tutorial

      Room: 205C

       

       

      TAM-T3: Image Processing for Cinema

      Sunday, 09:00-12:30

      Tutorial

      Room: 205B

       

       

      TAM-T5: Visual saliency: Fundamentals, Applications, and Recent Progress

      Sunday, 09:00-12:30

      Tutorial

      Room: 204B

       

       

      TPM-T1: Computational Photography

      Sunday, 13:30-17:00

      Tutorial

      Room: 206A

       

       

      TPM-T2: Example-based Super Resolution

      Sunday, 13:30-17:00

      Tutorial

      Room: 205C

       

       

      TPM-T3: Perceptual Metrics for Image and Video Quality in a Broader Context:  From Perceptual Transparency to Structural Equivalence

      Sunday, 13:30-17:00

      Tutorial

      Room: 205B

       

       

      TPM-T4: Spectral Methods in 3D Data Analysis

      Sunday, 13:30-17:00

      Tutorial

      Room: 205A

       

       

      TPM-T5: Sparse Stochastic Processes: A unifying Statistical Framework for Modern Image Processing

      Sunday, 13:30-17:00

      Tutorial

      Room: 204B

       

       

      WLCM-E: Welcome Reception

      Sunday, 19:00-22:00

      Social Event

      Room: La Citadelle

    • Monday, Sept. 28

      +

      PLE-N1: Plenary ‒ Deep Learning

      Monday, 09:00-10:00

      Plenary

      Room: 200AB

       

       

      ARS-O4: Edge and Shape Models

      Monday, 10:30-12:30

      Lecture

      Room: 202

       

      10:30    ARS-O4.1 – RECURSIVE ORIENTATION ESTIMATION BASED ON HYPERSURFACE RECONSTRUCTION

       

      10:50    ARS-O4.2 – PROBABILISTIC CONTINUOUS EDGE DETECTION USING LOCAL SYMMETRY

       

      11:10    « ARS-O4.3 – COMPLEX-VALUED HOUGH TRANSFORMS FOR CIRCLES

       

      11:30    ARS-O4.4 – STOCHASTIC MODEL FOR CURVILINEAR STRUCTURE RECONSTRUCTION USING MORPHOLOGICAL PROFILES

       

      11:50    « ARS-O4.5 – ON THE ROLE OF NON-LOCAL MENGER CURVATURE IN IMAGE PROCESSING

       

      12:10    ARS-O4.6 – ACTIVE SHAPE MODEL UNLEASHED WITH MULTI-SCALE LOCAL APPEARANCE

       

       

      ARS-P27: Saliency I

      Monday, 10:30-12:30

      Poster

      Room: Poster D

       

                  « ARS-P27.1 – SALIENCY DETECTION WITH MULTI-SCALE SUPERPIXELS

       

                  ARS-P27.2 – SALIENCY DETECTION USING A BACKGROUND PROBABILITY MODEL

       

                  « ARS-P27.3 – STRUCTURED SALIENCY FUSION BASED ON DEMPSTERSHAFER THEORY

       

                  ARS-P27.4 – SALIENCY DETECTION USING TWO-STAGE SCORING

       

                  ARS-P27.5 – A LOCATION-AWARE SCALE-SPACE METHOD FOR SALIENT OBJECT DETECTION

       

       

      ARS-P34: Visual Content Analysis

      Monday, 10:30-12:30

      Poster

      Room: Poster A

       

                  ARS-P34.1 – LARGE VISUAL WORDS FOR LARGE SCALE IMAGE CLASSIFICATION

       

                  ARS-P34.2 – DYNAMIC TIME-ALIGNMENT K-MEANS KERNEL CLUSTERING FOR TIME SEQUENCECLUSTERING

       

                  ARS-P34.3 – EXEMPLAR BASED METRIC LEARNING FOR ROBUST VISUAL LOCALIZATION

       

                  ARS-P34.4 – INDEXING FINGERPRINT DATABASE WITH MINUTIAE BASED COAXIAL GAUSSIAN TRACK CODE AND QUANTIZED LOOKUP TABLE

       

                  ARS-P34.5 – T-CLUSTERING: IMAGE CLUSTERING BY TENSOR DECOMPOSITION

       

       

      ARS-P41: Video Retrieval

      Monday, 10:30-12:30

      Poster

      Room: Poster B

       

                  ARS-P41.1 – FRAME-LEVEL MATCHING OF NEAR DUPLICATE VIDEOS BASED ON TERNARY FRAME DESCRIPTOR AND ITERATIVE REFINEMENT

       

                  ARS-P41.2 – THE THU MULTI-VIEW FACE DATABASE FOR VIDEOCONFERENCES

       

                  ARS-P41.3 – TEMPORAL AGGREGATION FOR LARGE-SCALE QUERY-BY-IMAGE VIDEO RETRIEVAL

       

                  ARS-P41.4 – FAST OBJECT INSTANCE SEARCH IN VIDEOS FROM ONE EXAMPLE

       

       

      ARS-P42: Saliency II

      Monday, 10:30-12:30

      Poster

      Room: Poster E

       

                  ARS-P42.1 – SPARSE CODING-BASED SPATIOTEMPORAL SALIENCY FOR ACTION RECOGNITION

       

                  ARS-P42.2 – A VIDEO SALIENCY DETECTION METHOD BASED ON SPATIAL AND MOTION INFORMATION

       

                  ARS-P42.3 – SALIENT OBJECT DETECTION USING NORMALIZED CUT AND GEODESICS

       

                  « ARS-P42.4 – VISUAL SALIENCY BY EXTENDED QUANTUM CUTS

       

                  ARS-P42.5 – MULTI-SCALE SALIENCY OF 3D COLORED MESHES

       

                  ARS-P42.6 – SALIENT OBJECT DETECTION FROM DISTINCTIVE FEATURES IN LOW CONTRAST IMAGES

       

       

      ARS-P43: Saliency III

      Monday, 10:30-12:30

      Poster

      Room: Poster F

       

                  ARS-P43.1 – SALIENCY MAP BASED IMPROVED SEGMENTATION

       

                  ARS-P43.2 – A SALIENCY MODEL FOR AUTOMATED TUMOR DETECTION IN BREAST ULTRASOUND IMAGES

       

                  ARS-P43.3 – SALIENT OBJECT CARVING

       

                  ARS-P43.4 – ONE GAZE IS WORTH TEN THOUSAND (KEY-)WORDS

       

                  ARS-P43.5 – SALIENT OBJECT DETECTION VIA OBJECTNESS MEASURE

       

                  ARS-P43.6 – SALIENCY CUTS BASED ON ADAPTIVE TRIPLE THRESHOLDING

       

       

      ARS-P5: Content Summarization and Understanding

      Monday, 10:30-12:30

      Poster

      Room: Poster C

       

                  ARS-P5.1 – A MULTI-VIEW VIDEO SYNOPSIS FRAMEWORK

       

                  ARS-P5.2 – CASCADE OF CLASSIFIERS BASED ON BINARY, NON-BINARY AND DEEP CONVOLUTIONAL NETWORK DESCRIPTORS FOR VIDEO CONCEPT DETECTION

       

                  ARS-P5.3 – CO-REGULARIZED DEEP REPRESENTATIONS FOR VIDEO SUMMARIZATION

       

                  ARS-P5.4 – FACIAL IMAGE ANALYSIS BASED ON TWO-DIMENSIONAL LINEAR DISCRIMINANT ANALYSIS EXPLOITING SYMMETRY

       

                  ARS-P5.5 – VIDEO SUMMARIZATION THROUGH CHANGE DETECTION IN A NON-OVERLAPPING CAMERA NETWORK

       

       

      COM-O1: High-efficiency Video Coding I

      Monday, 10:30-12:30

      Lecture

      Room: 204A

       

      10:30    COM-O1.1 – HIGH THROUGHPUT PARALLEL SCHEME FOR HEVC DEBLOCKING FILTER

       

      10:50    COM-O1.2 – FAST CU SIZE DECISION AND PU MODE DECISION ALGORITHM IN HEVC INTRA CODING

       

      11:10    COM-O1.3 – TEXTURE BASED SUB-PU MOTION INHERITANCE FOR DEPTH CODING

       

      11:30    COM-O1.4 – PALETTE MODE - A NEW CODING TOOL IN SCREEN CONTENT CODING EXTENSIONS OF HEVC

       

      11:50    « COM-O1.5 – A NOVEL MOTION ESTIMATION ALGORITHM BASED ON QUADRATIC PREDICTION

       

      12:10    COM-O1.6 – BLOCK STRUCTURE REUSE FOR MULTI-RATE HIGH EFFICIENCY VIDEO CODING

       

       

      COM-P1: High-efficiency Video Coding II

      Monday, 10:30-12:30

      Poster

      Room: Poster O

       

                  COM-P1.1 – RATE DISTORTION ANALYSIS OF HIGH DYNAMIC RANGE VIDEO CODING TECHNIQUES

       

                  « COM-P1.2 – CONTEXT ADAPTIVE MODE SORTING FOR FAST HEVC MODE DECISION

       

                  COM-P1.3 – FAST INTER MODE DECISION FOR HEVC BASED ON TRANSPARENT COMPOSITE MODEL

       

                  COM-P1.4 – COPY MODE FOR STATIC SCREEN CONTENT CODING WITH HEVC

       

       

      ELI-O2: 3D Modeling and Reconstruction

      Monday, 10:30-12:30

      Lecture

      Room: 205A

       

      10:30    ELI-O2.1 – ENSEMBLE CLASSIFIER FOR JOINT OBJECT INSTANCE AND CATEGORY RECOGNITION ON RGBD DATA

       

      10:50    ELI-O2.2 – DCSLAM : A REAL-TIME SLAM WITH DYNAMIC CONSTRAINTS

       

      11:10    « ELI-O2.3 – MOTION ESTIMATION FOR NON-OVERLAPPING CAMERAS BY IMPROVEMENT OF FEATURE POINTS MATCHING BASED ON URBAN 3D STRUCTURE

       

      11:30    ELI-O2.4 – AUTOMATIC VIDEO TO POINT CLOUD REGISTRATION IN A STRUCTURE-FROM-MOTION FRAMEWORK

       

      11:50    ELI-O2.5 – 3D TRAJECTORY RECONSTRUCTION UNDER REFRACTION AT A CYLINDRICAL SURFACE

       

      12:10    ELI-O2.6 – ACCURATE SCALE ESTIMATION BASED ON UNSYNCHRONIZED CAMERA NETWORK

       

       

      ELI-P12: Color Imaging II

      Monday, 10:30-12:30

      Poster

      Room: Poster N

       

                  ELI-P12.1 – OPTIMIZATION OF COLOR QUANTIZATION WITH TOTAL LUMINANCE FOR DLP PROJECTOR AND ITS EVALUATION SYSTEM

       

                  ELI-P12.2 – EFFICIENT NATURAL COLOR IMAGE DENOISING BASED ON GUIDED FILTER

       

                  ELI-P12.3 – INVERSE HALFTONING WITH GROUPING SINGULAR VALUE DECOMPOSITION

       

                  « ELI-P12.4 – ONE-FRAME DELAY FOR DYNAMIC PHOTOMETRIC COMPENSATION IN A PROJECTOR-CAMERA SYSTEM

       

                  ELI-P12.5 – GRADIENT PRESERVING RGB-TO-GRAY CONVERSION USING RANDOM FOREST

       

                  ELI-P12.6 – HYBRID KEY: AN AUTOMATIC TOOL FOR REAL-TIME HIGH QUALITY CHROMA KEYING

       

       

      ELI-P3: Color Imaging I

      Monday, 10:30-12:30

      Poster

      Room: Poster M

       

                  ELI-P3.1 – A CLUSTERING CLASSIFICATION FRAMEWORK FOR COLOUR CONSTANCY

       

                  ELI-P3.2 – COMPENSATION OF SPECTRAL MISMATCH TO ENHANCE WRGB DEMOSAICKING

       

                  ELI-P3.3 – REFLECTANCE ESTIMATION AND WHITE BALANCING USING MULTIPLE IMAGES

       

                  « ELI-P3.4 – SIMPLE EFFECTIVE IMAGE AND VIDEO COLOR CORRECTION USING QUATERNION DISTANCE METRIC

       

                  ELI-P3.5 – ADAPTIVE RESIDUAL INTERPOLATION FOR COLOR IMAGE DEMOSAICKING

       

       

      NEW-O2: Image and Graphs

      Monday, 10:30-12:30

      Lecture

      Room: 204B

       

      10:30    NEW-O2.1 – DELAUNAY-SUPPORTED EDGES FOR IMAGE GRAPHS

       

      10:50    « NEW-O2.2 – SPARSE CONCEPT DISCRIMINANT MATRIX FACTORIZATION FOR IMAGE REPRESENTATION

       

      11:10    NEW-O2.3 – INTER-BLOCK CONSISTENT SOFT DECODING OF JPEG IMAGES WITH SPARSITY AND GRAPH-SIGNAL SMOOTHNESS PRIORS

       

      11:30    NEW-O2.4 – BAG-OF-WORD BASED BRAND RECOGNITION USING MARKOV CLUSTERING ALGORITHM FOR CODEBOOK GENERATION

       

      11:50    NEW-O2.5 – ORTHO-DIFFUSION DECOMPOSITIONS FOR FACE RECOGNITION FROM LOW QUALITY IMAGES

       

       

      SMR-O1: Bio-inspired Modeling

      Monday, 10:30-12:30

      Lecture

      Room: 203

       

      10:30    SMR-O1.1 – BIOLOGICALLY MOTIVATED SQUARE SPIRAL ARCHITECTURE FOR FAST VIDEO PROCESSING

       

      10:50    SMR-O1.2 – A VISUAL COMFORT ASSESSMENT METRIC FOR STEREOSCOPIC IMAGES

       

      11:10    SMR-O1.3 – A SIMPLE MODEL FOR ASSESSING THE ROLE OF CAMERA FRAME RATE IN MEASURING EYE MOVEMENT

       

      11:30    SMR-O1.4 – KNOWLEDGE AS ACTION: A COGNITIVE FRAMEWORK FOR INDOOR SCENE CLASSIFICATION

       

      11:50    SMR-O1.5 – BIOLOGICALLY INSPIRED DEEP STEREO MODEL

       

      12:10    SMR-O1.6 – A CONJOINTLY WELL LOCALIZED QUADRATURE MIRROR FILTERBANK

       

       

      SMR-P1: Image Analysis and Synthesis

      Monday, 10:30-12:30

      Poster

      Room: Poster J

       

                  SMR-P1.1 – LPI ADAPTIVE DESCREENING METHOD WITH HADAMARD DOMAIN ANAYSIS

       

                  SMR-P1.2 – A ROBUST NONSYMMETRIC STUDENTS-T FINITE MIXTURE MODEL FORMR IMAGE SEGMENTATION

       

                  SMR-P1.3 – A MAP ESTIMATION FRAMEWORK FOR HDR VIDEO SYNTHESIS

       

                  SMR-P1.4 – LOCALITY SENSITIVE DICTIONARY LEARNING FOR IMAGE CLASSIFICATION

       

                  SMR-P1.5 – INTERPRETING SPORTS TACTIC BASED ON LATENT CONTEXT-FREE GRAMMAR

       

                  SMR-P1.6 – NOTES ON IMAGE PROCESSING WITH PARTIAL DIFFERENTIAL EQUATIONS

       

       

      SMR-P6: Imaging Systems

      Monday, 10:30-12:30

      Poster

      Room: Poster K

       

                  SMR-P6.1 – PARAMETER OPTIMISATION FOR VISION GUIDED TERRESTRIAL LOCOMOTION : MULTI-FRAME

       

                  SMR-P6.2 – USING THE UNITY® GAME ENGINE AS A PLATFORM FOR ADVANCED REAL TIME CINEMA IMAGE PROCESSING

       

                  SMR-P6.3 – COMPUTATIONAL 3D RECONSTRUCTION OF FAR AND BIG SIZE OBJECTS USING SYNTHETIC APETURE INTEGRAL IMAGING

       

                  SMR-P6.4 – ROBUST LASER STRIPE EXTRACTION USING RIDGE SEGMENTATION AND REGION RANKING FOR 3D RECONSTRUCTION OF REFLECTIVE AND UNEVEN SURFACE

       

       

      SMR-P9: Texture Estimation and Classification

      Monday, 10:30-12:30

      Poster

      Room: Poster L

       

                  SMR-P9.1 – DYNAMIC TEXTURES CLUSTERING USING A HIERARCHICAL PITMAN-YOR PROCESS MIXTURE OF DIRICHLET DISTRIBUTIONS

       

                  SMR-P9.2 – DENOISING OF NATURAL STOCHASTIC COLORED-TEXTURES BASED ON FRACTIONAL BROWNIAN MOTION MODEL

       

                  SMR-P9.3 – ARFBF MODEL FOR NON STATIONARY RANDOM FIELDS AND APPLICATION IN HRTEM IMAGES

       

                  SMR-P9.4 – QUEST THE POTENTIAL OF SPATIAL TEXTURE FEATURES FOR DYNAMIC TEXTURE RECOGNITION

       

                  « SMR-P9.5 – TEXTURE CLASSIFICATION USING UNIFORM ROTATION INVARIANT GRADIENT

       

                  SMR-P9.6 – MULTIVARIATE OPTIMIZATION FOR MULTIFRACTAL-BASED TEXTURE SEGMENTATION

       

       

      SNT-S1: Show & Tell I

      Monday, 10:30-12:30

      Show & Tell

      Room: Show & Tell

       

      10:30    SNT-S1.1 – USING GOOGLE GLASS TO ASSIST INDIVIDUALS WITH AUTISM IN JOB INTERVIEWS

       

      10:50    SNT-S1.2 – ANTI-COLLUSION VIDEO WATERMARKING WITH REAL-TIME FALSE ALARM PROBABILITIES. 

       

      11:10    SNT-S1.3 – INTERACTIVE MAX-TREE VISUALIZATION TOOL FOR IMAGE PROCESSING AND ANALYSIS

       

       

      SS3-O1: Color Imaging and Applications

      Monday, 10:30-12:30

      Lecture

      Room: 205B

       

      10:30    SS3-O1.1 – TEXTURE CLASSIFICATION WITH FUZZY COLOR CO-OCCURRENCE MATRICES

       

      10:50    SS3-O1.2 – EVALUATION OF 60 FULL-REFERENCE IMAGE QUALITY METRICS ON THE CID:IQ

       

      11:10    SS3-O1.3 – COLOR DECORRELATION HELPS VISUAL SALIENCY DETECTION

       

      11:30    SS3-O1.4 – ELLIPTICAL MONOGENIC REPRESENTATION OF COLOR IMAGES AND LOCAL FREQUENCY ANALYSIS

       

      11:50    « SS3-O1.5 – MULTIVALUED LABEL DIFFUSION FOR SEMI-SUPERVISED SEGMENTATION

       

      12:10    SS3-O1.6 – SCENE STATISTICS OF AUTHENTICALLY DISTORTED IMAGES IN PERCEPTUALLYRELEVANT COLOR SPACES FOR BLIND IMAGE QUALITY ASSESSMENT

       

       

      TEC-O4: Image Reconstruction

      Monday, 10:30-12:30

      Lecture

      Room: 205C

       

      10:30    TEC-O4.1 – DESIRE: DISCONTINUOUS ENERGY SEAM CARVING FOR IMAGE RETARGETING VIA STRUCTURAL AND TEXTURAL ENERGY FUNCTIONALS

       

      10:50    TEC-O4.2 – ROTATIONALLY-INVARIANT NON-LOCAL MEANS FOR IMAGE DENOISING AND TOMOGRAPHY

       

      11:10    TEC-O4.3 – NEURAL NETWORK BASED X-RAY TOMOGRAPHY FOR FAST INSPECTION OF APPLES ON A CONVEYOR BELT SYSTEM

       

      11:30    TEC-O4.4 – DISTRIBUTED COMPRESSED SENSING FOR PHOTO-ACOUSTIC IMAGING

       

      11:50    TEC-O4.5 – PARTIALLY DISCRETE MAGNETIC RESONANCE TOMOGRAPHY

       

      12:10    « TEC-O4.6 – ACCELERATING THE OVER-RELAXED ITERATIVE SHRINKAGE-THRESHOLDING ALGORITHMS WITH FAST AND EXACT LINE SEARCH FOR HIGH RESOLUTION TOMOGRAPHIC IMAGE RECONSTRUCTION

       

       

      TEC-P26: Tomography

      Monday, 10:30-12:30

      Poster

      Room: Poster H

       

                  « TEC-P26.1 – FACTOR GRAPHS FOR INVERSE PROBLEMS: ACCELERATED PHASE CONTRAST MAGNETIC RESONANCE IMAGING

       

                  TEC-P26.2 – MR IMAGE RECONSTRUCTION OF A REGULARLY UNDERSAMPLED SIGNAL USING QUADRATIC PHASE SCRAMBLING

       

                  TEC-P26.3 – ANGULAR UPSAMPLING OF PROJECTION MEASUREMENTS IN 3D COMPUTED TOMOGRAPHY USING A SPARSITY PRIOR

       

                  TEC-P26.4 – TOMOGRAPHIC IMAGE RECONSTRUCTION WITH A SPATIALLY VARYING GAUSSIAN MIXTURE PRIOR

       

                  « TEC-P26.5 – LEARNING SPACE-TIME DICTIONARIES FOR BLIND COMPRESSED SENSING DYNAMIC MRI RECONSTRUCTION

       

       

      TEC-P33: Motion Estimation, Restoration and Superresolution

      Monday, 10:30-12:30

      Poster

      Room: Poster G

       

                  TEC-P33.1 – ON SPATIAL NEIGHBOURHOOD OF PATCH-BASED SUPER RESOLUTION

       

                  TEC-P33.2 – COLOR DEFLICKERING FOR HIGH-SPEED VIDEO IN THE PRESENCE OF ARTIFICIALLIGHTING

       

                  TEC-P33.3 – ILLUMINATION ROBUST OPTICAL FLOW ESTIMATION BY ILLUMINATION-CHROMATICITY DECOUPLING

       

                  « TEC-P33.4 – KERNEL-BASED FACE HALLUCINATION VIA DUAL REGULARIZATION PRIORS

       

                  TEC-P33.5 – FIREFLY: A HARDWARE-FRIENDLY REAL-TIME LOCAL BRIGHTNESS ADJUSTMENT METHOD

       

                  TEC-P33.6 – DENOISING-BASED IMAGE RECONSTRUCTION FROM PIXELS LOCATED AT NON-INTEGER POSITIONS

       

       

       

      MATL-W: Industry Workshop: Matlab Today

      Monday, 12:30-14:00

      Workshop

      Room: 206A

       

       

      WISP-L: Women in Signal Processing Lunch

      Monday, 12:30-14:00

      Lunch

      Room: 206B

       

       

      ARS-O1: Classification I

      Monday, 14:00-16:00

      Lecture

      Room: 204A

       

      14:00    ARS-O1.1 – STATISTICAL HYPOTHESIS TEST FOR ROBUST CLASSIFICATION ON THE SPACE OF COVARIANCE MATRICES

       

      14:20    ARS-O1.2 – MULTIPLE FEATURES EXTRACTION FOR TIMBER DEFECTS DETECTION AND CLASSIFICATION USING SVM

       

      14:40    « ARS-O1.3 – LOCAL FEATURE EMBEDDING FOR WEAKLY SUPERVISED IMAGE CLASSIFICATION

       

      15:00    ARS-O1.4 – PHOTOGRAPHIC PAPER CLASSIFICATION VIA LOCAL RADIUS INDEX METRIC

       

      15:20    ARS-O1.5 – DPM REVISITED: UTILIZING ROOT-PART SPATIAL DISTRIBUTION FOR VEHICLEVIEWPOINT ESTIMATION

       

      15:40    ARS-O1.6 – FEATURES WE TRUST!

       

       

      ARS-O14: Object Detection and Tracking I

      Monday, 14:00-16:00

      Lecture

      Room: 204B

       

      14:00    ARS-O14.1 – ONLINE LEARNING OF MULTI-FEATURE WEIGHTS FOR ROBUST OBJECT TRACKING

       

      14:20    ARS-O14.2 – OBJECT TRACKING WITH ADAPTIVE MOTION MODELING OF PARTICLE FILTER AND SUPPORT VECTOR MACHINES

       

      14:40    ARS-O14.3 – DETECTING REPETITIVE ELEMENTS WITH ACCURATE LOCATIONS AND SHAPES FROM URBAN FAÇADE

       

      15:00    ARS-O14.4 – REPRODUCIBLE EVALUATION OF PAN-TILT-ZOOM TRACKING

       

      15:20    ARS-O14.5 – REGULARIZATION IN METRIC LEARNING FOR PERSON RE-IDENTIFICATION

       

      15:40    ARS-O14.6 – A HIERARCHICAL ANTI-OCCLUSION TRACKING ALGORITHM BASED ON DMPF AND ORB

       

       

      ARS-O16: Pose and Gesture Recognition

      Monday, 14:00-16:00

      Lecture

      Room: 203

       

      14:00    ARS-O16.1 – SEQUENTIAL NON-RIGID POINT REGISTRATION FOR 3D HUMAN POSE TRACKING

       

      14:20    ARS-O16.2 – RECOGNIZING HAND-OBJECT INTERACTIONS IN WEARABLE CAMERA VIDEOS

       

      14:40    ARS-O16.3 – GESTURE RECOGNITION USING ACTIVE BODY PARTS AND ACTIVE DIFFERENCE SIGNATURES

       

      15:00    ARS-O16.4 – ESTIMATION OF EYE GAZE DIRECTION ANGLES BASED ON ACTIVE APPEARANCE MODELS

       

      15:20    ARS-O16.5 – TOWARDS SIGN LANGUAGE RECOGNITION BASED ON BODY PARTS RELATIONS

       

      15:40    « ARS-O16.6 – HEAD POSE ESTIMATION VIA PROBABILISTIC HIGH-DIMENSIONAL REGRESSION

       

       

      ARS-P10: Facial Features/Gender/Age Recognition

      Monday, 14:00-16:00

      Poster

      Room: Poster D

       

                  ARS-P10.1 – ROBUST FACIAL LANDMARK LOCALIZATION USING MULTI PARTIAL FEATURES

       

                  « ARS-P10.2 – INVESTIGATING THE FEASIBILITY OF IMAGE-BASED NOSE BIOMETRICS

       

                  ARS-P10.3 – SUPERVISED FRACTIONAL EIGENFACES

       

                  ARS-P10.4 – FACIAL FEATURE PARSING AND LANDMARK DETECTION VIA LOW-RANK MATRIX DECOMPOSITION

       

                  ARS-P10.5 – PRECISE EYE LOCALIZATION WITH IMPROVED SDM

       

                  « ARS-P10.6 – AN ADAPTIVE MOTION MODEL FOR PERSON TRACKING WITH INSTANTANEOUS HEAD-POSE FEATURES

       

       

      ARS-P11: Feature Detection and Tracking

      Monday, 14:00-16:00

      Poster

      Room: Poster B

       

                  ARS-P11.1 – OCCLUSION HANDLING IN FEATURE POINT TRACKING USING RANKED PARTS BASED MODELS

       

                  ARS-P11.2 – REGRESSION BASED LANDMARK ESTIMATION AND MULTI-FEATURE FUSION FOR VISUAL SPEECH RECOGNITION

       

                  ARS-P11.3 – BIT: BIO-INSPIRED TRACKER

       

                  ARS-P11.4 – REAL-TIME SOFTWARE SYNCHRONISATION OF WEBCAMS FOR LIVE 3D TRACKING

       

                  ARS-P11.5 – BACKGROUND-FOREGROUND TRACKING FOR VIDEO OBJECT SEGMENTATION

       

       

      ARS-P15: Image and Scene Analysis

      Monday, 14:00-16:00

      Poster

      Room: Poster A

       

                  ARS-P15.1 – SUPERPIXEL-BASED STATISTICAL ANOMALY DETECTION FOR SENSE AND AVOID

       

                  ARS-P15.2 – OBJECT RECOGNITION BASED ON DEFORMABLE EDGE SET

       

                  ARS-P15.3 – CHORD: CASCADED AND A CONTRARIO METHOD FOR HOLE CRACK DETECTION

       

                  ARS-P15.4 – BILATERAL SYMMETRY DETECTION BASED ON SCALE INVARIANT STRUCTURE FEATURE

       

                  ARS-P15.5 – DETECT COHERENT MOTIONS IN CROWD SCENES BASED ON TRACKLETS ASSOCIATION

       

                  ARS-P15.6 – REAL TIME RAILWAY EXTRACTION BY ANGLE ALIGNMENT MEASURE

       

       

      ARS-P29: Texture Synthesis

      Monday, 14:00-16:00

      Poster

      Room: Poster C

       

                  ARS-P29.1 – QUANTUM-COMPUTATION-INSPIRED REVERSE ANALYSIS TEXTURE SYNTHESIS

       

                  ARS-P29.2 – FAST IMAGE COMPLETION METHOD USING PATCH OFFSET STATISTICS

       

                  ARS-P29.3 – SUPER-RESOLUTION FROM LEARNING THE ENHANCEMENT RATIO AND TEXTURE/RESIDUAL DICTIONARY

       

                  ARS-P29.4 – TRANSPARENT TEXTURE TRANSFER

       

                  « ARS-P29.5 – AN OPTIMIZATION-BASED APPROACH FOR RESTORING MISSING STRUCTURES AND TEXTURES IN IMAGES

       

       

      ARS-P36: Visual Tracking I

      Monday, 14:00-16:00

      Poster

      Room: Poster E

       

                  ARS-P36.1 – ROBUSTLY TRACKING OBJECTS VIA MULTI-TASK KERNEL DYNAMIC SPARSE MODEL

       

                  ARS-P36.2 – VISUAL TRACKING VIA GUIDED FILTER

       

                  ARS-P36.3 – VISUAL TRACKING WITH A STRUCTURED LOCAL MODEL

       

                  ARS-P36.4 – INTERACTIVE IMAGE SEGMENTATION VIA CASCADED METRIC LEARNING

       

                  ARS-P36.5 – PARTS-BASED MULTI-TASK SPARSE LEARNING FOR VISUAL TRACKING

       

                  « ARS-P36.6 – LEARNING A TEMPORALLY INVARIANT REPRESENTATION FOR VISUAL TRACKING

       

       

      ARS-P37: Visual Tracking II

      Monday, 14:00-16:00

      Poster

      Room: Poster F

       

                  ARS-P37.1 – CORRELATED WARPED GUSSIAN PROCESSES FOR GENDER-SPECIFIC AGE ESTIMATION

       

                  ARS-P37.2 – ROBUST VISUAL TRACKING VIA DISCRIMINATIVE SEQUENTIAL RANKING

       

                  ARS-P37.3 – ROBUST VISUAL TRACKING VIA GUIDED LOW-RANK SUBSPACE LEARNING

       

                  ARS-P37.4 – DOUBLE LAYER SALIENT PARTS BASED MULTI-PEOPLE TRACKING

       

                  ARS-P37.5 – VISUAL TRACKING VIA ORTHOGONAL SPARSE CODING

       

                  ARS-P37.6 – DICTIONARY LEARNING FOR A SPARSE APPEARANCE MODEL IN VISUAL TRACKING

       

       

      ARS-P38: Visual Tracking III

      Monday, 14:00-16:00

      Poster

      Room: Poster G

       

                  ARS-P38.1 – ADAPTIVE VISUAL TARGET DETECTION AND TRACKING USING INCREMENTAL APPEARANCE LEARNING

       

                  ARS-P38.2 – ONLINE MULTI-PERSON TRACKING BASED ON GLOBAL SPARSE COLLABORATIVE REPRESENTATIONS

       

                  ARS-P38.3 – DIRECTIONAL RINGLET INTENSITY FEATURE TRANSFORM FOR TRACKING

       

                  ARS-P38.4 – MULTI-TARGET TRACKING VIA PARATACTIC-SERIAL TRACKLET GRAPH

       

                  ARS-P38.5 – FAST TRACKING VIA CONTEXT DEPTH MODEL LEARNING

       

                  ARS-P38.6 – CONTEXTUAL OBJECT TRACKER WITH STRUCTURE ENCODING

       

       

      COI-P1: Hyperspectral Imaging

      Monday, 14:00-16:00

      Poster

      Room: Poster K

       

                  COI-P1.1 – A SPECTRAL UNMIXING METHOD BASED ON WAVELET WEIGHTED SIMILARITY

       

                  COI-P1.2 – HYPERSPECTRAL IMAGE INTERPRETATION BASED ON PARTIAL LEAST SQUARES

       

                  COI-P1.3 – SPATIO-SPECTRAL GAUSSIAN RANDOM FIELD MODELING APPROACH FOR TARGET DETECTION ON HYPERSPECTRAL DATA OBTAINED IN VERY LOW SNR

       

                  COI-P1.4 – MULTILAYER MANIFOLD AND SPARSITY CONSTRAINTED NONNEGATIVE MATRIXFACTORIZATION FOR HYPERSPECTRAL UNMIXING

       

                  COI-P1.5 – HYPERSPECTRAL CLASSIFICATION VIA LEARNT FEATURES

       

                  COI-P1.6 – NON-HOMOGENEOUS PRIORS IN A BAYESIAN LATENT CLASS MODEL FOR OCEAN COLOR INVERSION

       

       

      COI-P2: Radar Imaging

      Monday, 14:00-16:00

      Poster

      Room: Poster L

       

                  COI-P2.1 – NONPARAMETRIC BACKGROUND MODEL BASED CLUTTER MAP FOR X-BAND MARINE RADAR

       

                  COI-P2.2 – A NOVEL MOVING PARAMETER ESTIMATION APPROACH OF FAST MOVING TARGETS  BASED ON PHASE EXTRACTION

       

                  COI-P2.3 – A VALIDATION OF ICA DECOMPOSITION FOR POLSAR IMAGES BY USING MEASURES OF NORMALIZED COMPRESSION DISTANCE

       

                  COI-P2.4 – A GENERALIZED FORM OF THE INSAR PHASE UNWRAPPING PROBLEM BASED ON A COMPRESSED SENSING TECHNIQUE

       

                  COI-P2.5 – STEREO RADARGRAMMETRY USING AIRBORNE SAR IMAGES WITHOUT GCP

       

                  COI-P2.6 – INTEGRABILITY-REGULARIZED PHASE UNWRAPPING VIA SPARSE ERROR CORRECTION

       

       

      COI-P3: Seismic and Remote Sensing Imaging

      Monday, 14:00-16:00

      Poster

      Room: Poster M

       

                  COI-P3.1 – MULTI-LEVEL SEMANTIC LABELING OF SKY/CLOUD IMAGES

       

                  COI-P3.2 – TENSOR-BASED SUBSPACE LEARNING FOR TRACKING SALT DOME BOUNDARIES

       

                  COI-P3.3 – DESTRIPING ALGORITHM WITH L0 SPARSITY PRIOR FOR REMOTE SENSING IMAGES

       

                  COI-P3.4 – SPARSE ADAPTIVE TEMPLATE MATCHING AND FILTERING FOR 2D SEISMIC IMAGES WITH DUAL-TREE WAVELETS AND PROXIMAL METHODS

       

                  COI-P3.5 – A HYBRID APPROACH FOR SALT DOME DETECTION IN 2D AND 3D SEISMIC DATA

       

       

      ELI-O4: HDR Imaging

      Monday, 14:00-16:00

      Lecture

      Room: 205A

       

      14:00    ELI-O4.1 – EXPOSURE BRACKETING VIA AUTOMATIC EXPOSURE SELECTION

       

      14:20    ELI-O4.2 – RADIOMETRIC CALIBRATION FOR HDR IMAGING

       

      14:40    « ELI-O4.3 – CHROMATIC CALIBRATION OF AN HDR DISPLAY USING 3D OCTREE FORESTS

       

      15:00    ELI-O4.4 – ADAPTIVE EXPOSURE FUSION FOR HIGH DYNAMIC RANGE IMAGING

       

      15:20    ELI-O4.5 – HIGH DYNAMIC RANGE CONTENT CALIBRATION FOR ACCURATE ACQUISITION AND DISPLAY

       

       

      IFS-P2: Data Hiding I

      Monday, 14:00-16:00

      Poster

      Room: Poster N

       

                  IFS-P2.1 – ROBUST STEGANALYSIS BASED ON TRAINING SET CONSTRUCTION AND ENSEMBLE CLASSIFIERS WEIGHTING

       

                  IFS-P2.2 – IMAGE FINGERPRINTING SYSTEM BASED ON COLLUSION SECURE CODE AND WATERMARKING METHOD

       

                  IFS-P2.3 – WATERMARKING FOR POSITION-MAPPING-BASED HALFTONING

       

                  IFS-P2.4 – REVERSIBLE WATERMARKING USING ENHANCED LOCAL PREDICTION

       

                  IFS-P2.5 – RECURSIVE OPTIMIZATION OF SPHERICAL WATERMARKING USING TRANSPORTATION THEORY

       

                  IFS-P2.6 – FEATURE REGIONS BASED ON GRAPH OPTIMIZATION FOR ROBUST REVERSIBLE WATERMARKING

       

       

      IFS-P5: Data Hiding II

      Monday, 14:00-16:00

      Poster

      Room: Poster O

       

                  « IFS-P5.1 – ROBUST CONTENT FINGERPRINTING ALGORITHM BASED ON SPARSE CODING

       

                  IFS-P5.2 – OUTLIER AGGREGATION TO PICK UP SCATTERED WATERMARK ENERGY

       

                  IFS-P5.3 – A NEW DATA CODING SCHEME USING CONTRAST-CONTROLLABLE COLOR INTERSECTION

       

                  IFS-P5.4 – IMAGE TRANSMORPHING WITH JPEG

       

                  IFS-P5.5 – HIGH CAPACITY DATA-HIDING FOR 3D MESHES BASED ON STATIC ARITHMETIC CODING

       

       

      NEW-O1: Graph-based Image & Video Coding

      Monday, 14:00-16:00

      Lecture

      Room: 202

       

      14:00    « NEW-O1.1 – PREDICTIVE GRAPH CONSTRUCTION FOR IMAGE COMPRESSION

       

      14:20    NEW-O1.2 – UNIFYING THE RANDOM WALKER ALGORITHM AND THE SIR MODEL FOR GRAPH CLUSTERING AND IMAGE SEGMENTATION

       

      14:40    « NEW-O1.3 – SUPERPIXEL-DRIVEN GRAPH TRANSFORM FOR IMAGE COMPRESSION

       

      15:00    « NEW-O1.4 – GRAPH-BASED MOTION ESTIMATION AND COMPENSATION FOR DYNAMIC 3D POINT CLOUD COMPRESSION

       

      15:20    NEW-O1.5 – GRAPH-BASED TRANSFORMS FOR INTER PREDICTED VIDEO CODING

       

       

      SNT-S2: Show & Tell II

      Monday, 14:00-16:00

      Show & Tell

      Room: Show & Tell

       

      14:00    SNT-S2.1 – AN INTERACTIVE AND REALTIME DEPTH COMPOSITING TOOL FOR CINEMA PREVIZ ON-SET

       

      14:20    SNT-S2.2 – EASY SEMI-SUPERVISED SEGMENTATION OF COMPLEX OBJECTS

       

      14:40    SNT-S2.3 – TOWARDS FAST HEVC ENCODING

       

      15:00    SNT-S2.4 – QUANTUM CIRCLE DETECTION: APPLICATIONS IN CELL COUNTING AND PEOPLE TRACKING

       

       

      SS8-O2: Big Media Data Processing and Analysis: Ad memoriam of Prof. A.N. Venetsanopoulos

      Monday, 14:00-16:00

      Lecture

      Room: 205B

       

      14:00    « SS8-O2.1 – MULTIPASS ENCODING FOR REDUCING PULSING ARTIFACTS IN CLOUD BASED VIDEO TRANSCODING

       

      14:20    SS8-O2.2 – TRAFFIC FLOW FROM A LOW FRAME RATE CITY CAMERA

       

      14:40    SS8-O2.3 – FACE2GPS: ESTIMATING GEOGRAPHIC LOCATION FROM FACIAL FEATURES

       

      15:00    SS8-O2.4 – LARGE-SCALE NONLINEAR FACIAL IMAGE CLASSIFICATION BASED ON APPROXIMATE KERNEL EXTREME LEARNING MACHIINE

       

      15:20    SS8-O2.5 – VISUAL ATTENTION FOR CONTENT BASED IMAGE RETRIEVAL

       

       

      TEC-O8: Curvilinear System Analysis

      Monday, 14:00-16:00

      Lecture

      Room: 205C

       

      14:00    TEC-O8.1 – IMAGE ANALYSIS OF VIDEOKYMOGRAPHIC DATA

       

      14:20    TEC-O8.2 – USER-GUIDED GRAPH REDUCTION FOR FAST IMAGE SEGMENTATION

       

      14:40    TEC-O8.3 – FAST 3D TRACKING AND QUANTIZATION OF SMALL VASCULAR STRUCTURES IN 3D MEDICAL IMAGES

       

      15:00    TEC-O8.4 – IMAGE-BASED EVALUATION OF TREATMENT RESPONSES OF FACIAL WRINKLESUSING LDDMM REGISTRATION AND GABOR FEATURES

       

      15:20    TEC-O8.5 – GEOMETRICAL GRAPH MATCHING USING MONTE CARLO TREE SEARCH

       

       

      TEC-P15: Low-level Feature Extraction and Classification

      Monday, 14:00-16:00

      Poster

      Room: Poster H

       

                  TEC-P15.1 – A NOVEL FEATURE DESCRIPTOR BASED ON MICROSCOPY IMAGE STATISTICS

       

                  TEC-P15.2 – A STUDY ON COMPACT AND DISCRIMINATIVE PARAMETER INITIALIZATION OF EXTREME LEARNING MACHINE FOR IMAGE CLASSIFICATION

       

                  TEC-P15.3 – A TWO-STAGE HOG FEATURE EXTRACTION PROCESSOR EMBEDDED WITH SVM FOR PEDESTRIAN DETECTION

       

                  TEC-P15.4 – SCALE- AND ORIENTATION-INVARIANT KEYPOINTS IN HIGHER-DIMENSIONAL DATA

       

                  TEC-P15.5 – A SUPERVISED LINEAR FEATURE EXTRACTION METHOD FOR MULTICLASS CLASSIFICATION PROBLEMS USING INFORMATION-THEORETIC LEARNING

       

                  TEC-P15.6 – A LOCAL MUTUAL INFORMATION-BASED METHOD FOR LARGE SCALE ACTIVE LEARNING

       

       

      TEC-P24: Sparse Recovery

      Monday, 14:00-16:00

      Poster

      Room: Poster J

       

                  TEC-P24.1 – RECONSTRUCTION OF COMPRESSIVELY SENSED ULTRASOUND RF ECHOES BY EXPLOITING NON-GAUSSIANITY AND TEMPORAL STRUCTURE

       

                  « TEC-P24.2 – SPARSE TENSOR RECOVERY VIA COMBINED FIRST AND SECOND ORDER HIGH-ACCURACY TOTAL VARIATION

       

                  TEC-P24.3 – DISCRIMINATIVE LABEL CONSISTENT DICTIONARY LEARNING

       

                  TEC-P24.4 – SPATIAL-TEMPORAL RECOVERY FOR HIERARCHICAL FRAME BASED VIDEO COMPRESSED SENSING

       

                  TEC-P24.5 – COMPRESSIVE SENSING OF VIDEO WITH WEIGHTED SENSING AND MEASUREMENT ALLOCATION

       

                  TEC-P24.6 – MULTI-SCALE/MULTI-RESOLUTION KRONECKER COMPRESSIVE IMAGING

       

       

      ARS-O10: Learning I

      Monday, 16:30-18:30

      Lecture

      Room: 202

       

      16:30    ARS-O10.1 – CATEGORIZATION OF CLOUD IMAGE PATCHES USING AN IMPROVED TEXTON-BASED APPROACH

       

      16:50    ARS-O10.2 – LOCALITY SENSITIVE DISCRIMINATIVE DICTIONARY LEARNING

       

      17:10    ARS-O10.3 – MAX-MARGIN ANALYSIS BASED PATCH SAMPLING FOR DISCOVERY OF MID-LEVEL PARTS

       

      17:30    « ARS-O10.4 – CLASSIFICATION BASED ON WEIGHTED SPARSE REPRESENTATION USINGSMOOTHED L0 NORM WITH NON-NEGATIVE COEFFICIENTS

       

      17:50    ARS-O10.5 – MULTIVARIATE TEXTURE DISCRIMINATION USING A PRINCIPAL GEODESIC CLASSIFIER

       

      18:10    « ARS-O10.6 – CLASS NOISE REMOVAL AND CORRECTION FOR IMAGE CLASSIFICATION USING ENSEMBLE MARGIN

       

       

      ARS-O13: Multimedia Retrieval and Indexing

      Monday, 16:30-18:30

      Lecture

      Room: 205A

       

      16:30    ARS-O13.1 – CONTENT BASED VIDEO RETRIEVAL ON MOBILE DEVICES : HOW MUCH CONTENT IS ENOUGH?

       

      16:50    ARS-O13.2 – CROSS-MODALITY HASHING WITH PARTIAL CORRESPONDENCE

       

      17:10    « ARS-O13.3 – ONLINE SUPERVISED HASHING

       

      17:30    ARS-O13.4 – A COMPACT SHOT REPRESENTATION FOR VIDEO SEMANTIC INDEXING

       

      17:50    ARS-O13.5 – RANK-AWARE GRAPH FUSION WITH CONTEXTUAL DISSIMILARITY MEASUREMENT FOR IMAGE RETRIEVAL

       

      18:10    ARS-O13.6 – HIERARCHICAL MULTI-VLAD FOR IMAGE RETRIEVAL

       

       

      ARS-O15: Object Tracking

      Monday, 16:30-18:30

      Lecture

      Room: 204B

       

      16:30    ARS-O15.1 – MULTIPLE MODEL ADAPTIVE VISUAL TRACKING WITH CORRELATION FILTERS

       

      16:50    ARS-O15.2 – SEGMENT-WISE ONLINE LEARNING BASED ON GREEDY ALGORITHM FOR REAL-TIME MULTI-TARGET TRACKING

       

      17:10    ARS-O15.3 – VISUAL TRACKING VIA MANIFOLD REGULARIZED LOCAL STRUCTURED SPARSE REPRESENTATION MODEL

       

      17:30    ARS-O15.4 – ROBUST VISUAL TRACKING USING JOINT SCALE-SPATIAL CORRELATION FILTERS

       

      17:50    ARS-O15.5 – ROBUST MULTI-OBJECT TRACKING USING CONFIDENT DETECTIONS AND SAFE TRACKLETS

       

      18:10    ARS-O15.6 – MULTIPLE OBJECT TRACKING BASED ON SPARSE GENERATIVE APPEARANCEMODELING

       

       

      ARS-O17: Saliency Analysis

      Monday, 16:30-18:30

      Lecture

      Room: 204A

       

      16:30    ARS-O17.1 – GEODESIC WEIGHTED BAYESIAN MODEL FOR SALIENT OBJECT DETECTION

       

      16:50    ARS-O17.2 – RGB-D SALIENCY DETECTION VIA MUTUAL GUIDED MANIFOLD RANKING

       

      17:10    ARS-O17.3 – CO-SALIENCY DETECTION VIA SIMILARITY-BASED SALIENCY PROPAGATION

       

      17:30    ARS-O17.4 – UNSUPERVISED COSEGMENTATION BASED ON GLOBAL CLUSTERING AND SALIENCY

       

      17:50    ARS-O17.5 – DICTIONARY LEARNING BASED SUPERPIXELS CLUSTERING FOR WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

       

      18:10    ARS-O17.6 – GROUP SALIENCY PROPAGATION FOR LARGE SCALE AND QUICK IMAGE CO-SEGMENTATION

       

       

      ARS-O20: Visualization and Image Rendering

      Monday, 16:30-18:30

      Lecture

      Room: 203

       

      16:30    ARS-O20.1 – VOLUME VISUALIZATION FOR OUT-OF-CORE 3D IMAGES BASED ON SEMI-ADAPTIVE PARTITIONING

       

      16:50    ARS-O20.2 – A FRAMEWORK FOR IMAGE-BASED ASSET GENERATION AND ANIMATION

       

      17:10    ARS-O20.3 – ITERATIVE MASK GENERATION METHOD FOR HANDLING OCCLUSION IN OPTICAL FLOW ASSISTED VIEW INTERPOLATION

       

      17:30    ARS-O20.4 – FAST SPARSE EDGE-BASED INTRINSIC IMAGE DECOMPOSITION GUIDED BY CHROMATICITY GRADIENTS

       

      17:50    ARS-O20.5 – SPARSE EDIT PROPAGATION FOR HIGH RESOLUTION IMAGE USING SUPPORT VECTOR MACHINES

       

      18:10    ARS-O20.6 – COLOR TO GRAYSCALE IMAGE CONVERSION USING MODULATION DOMAIN QUADRATIC PROGRAMMING

       

       

      ARS-P18: Indexing and Retrieval

      Monday, 16:30-18:30

      Poster

      Room: Poster B

       

                  ARS-P18.1 – UNSUPERVISED SPORTS VIDEO PARTICLES ANNOTATION BASED ON SOCIAL LATENT SEMANTIC ANALYSIS

       

                  ARS-P18.2 – EXTRACTION OF HIERARCHICAL STRUCTURE OF WEB COMMUNITIES INCLUDING SALIENT KEYWORD ESTIMATION FOR WEB VIDEO RETRIEVAL

       

                  « ARS-P18.3 – SEARCH AND RETRIEVAL OF MULTI-MODAL DATA ASSOCIATED WITH IMAGE-PARTS

       

                  ARS-P18.4 – ACCELERATING CDVS EXTRACTION ON MOBILE PLATFORM

       

                  ARS-P18.5 – ATTRIBUTE CONSTRAINED SUBSPACE LEARNING

       

                  « ARS-P18.6 – MULTIMEDIA RETRIEVAL VIA DEEP LEARNING TO RANK

       

       

      ARS-P3: Biometric Applications

      Monday, 16:30-18:30

      Poster

      Room: Poster C

       

                  ARS-P3.1 – COMMON SPARSE REPRESENTATION-BASED ROBUST MULTIMODAL BIOMETRICS RECOGNITION

       

                  ARS-P3.2 – ORTHOGONAL SELF-GUIDED SIMILARITY PRESERVING PROJECTIONS

       

                  ARS-P3.3 – SUBJECT IDENTIFICATION BASED ON EEG RESPONSES TO VIDEO STIMULI

       

                  ARS-P3.4 – SEMANTICS CONSTRAINED DICTIONARY LEARNING FOR SIGNER-INDEPENDENT SIGN LANGUAGE RECOGNITION

       

                  ARS-P3.5 – VALIDATION AND RELIABILITY OF THE DISCRIMINATIVE POWER OF GEOMETRIC WOOD LOG END FEATURES

       

                  ARS-P3.6 – LANDMARK-BASED FISHER VECTOR REPRESENTATION FOR VIDEO-BASED FACE VERIFICATION

       

       

      ARS-P31: Optical Flow and Motion Estimation

      Monday, 16:30-18:30

      Poster

      Room: Poster D

       

                  ARS-P31.1 – APPROXIMATION ORDER OF THE LAP OPTICAL FLOW ALGORITHM

       

                  ARS-P31.2 – IMPROVED SPECULAR REGIONS LOCALIZATION AND OPTICAL-FLOW BASEDMOTION ESTIMATION VIA JOINT PROCESSING

       

                  ARS-P31.3 – RATE-DISTORTION OPTIMIZED OPTICAL FLOW ESTIMATION

       

                  ARS-P31.4 – SUPERPIXEL MATCHING-BASED DEPTH PROPAGATION FOR 2D-TO-3D CONVERSION WITH JOINT BILATERAL FILTERING

       

                  ARS-P31.5 – A HYBRID MOTION ESTIMATION TECHNIQUE FOR FISHEYE VIDEO SEQUENCES BASED ON EQUISOLID RE-PROJECTION

       

                  ARS-P31.6 – MOTION ESTIMATION VIA HIERARCHICAL BLOCK MATCHING AND GRAPH CUT

       

       

      ARS-P50: Face and Gesture II

      Monday, 16:30-18:30

      Poster

      Room: Poster G

       

                  ARS-P50.1 – WHOLE SPACE SUBCLASS DISCRIMINANT ANALYSIS FOR FACE RECOGNITION

       

                  ARS-P50.2 – FAST AND EXACT BI-DIRECTIONAL FITTING OF ACTIVE APPEARANCE MODELS

       

                  ARS-P50.3 – TWO-LEVEL MULTI-TASK METRIC LEARNING WITH APPLICATION TO MULTI-CLASSIFICATION

       

                  ARS-P50.4 – HAND AND OBJECT SEGMENTATION FROM RGB-D IMAGES FOR INTERACTION WITH PLANAR SURFACES

       

                  ARS-P50.5 – LEVERAGING SHAPE AND DEPTH IN USER AUTHENTICATION FROM IN-AIR HAND GESTURES

       

                  ARS-P50.6 – UTILIZING THE BEZIER DESCRIPTORS FOR HAND GESTURE RECOGNITION

       

       

      ARS-P6: Edge and Shape Detection

      Monday, 16:30-18:30

      Poster

      Room: Poster F

       

                  ARS-P6.1 – CANNYLINES: A PARAMETER-FREE LINE SEGMENT DETECTOR

       

                  ARS-P6.2 – ELLIPSE-SPECIFIC FITTING BY RELAXING THE 3L CONSTRAINTS WITH SEMIDEFINITE PROGRAMMING

       

                  ARS-P6.3 – TAPPING MOTION BLUR FOR ROBUST NORMAL ESTIMATION OF PLANAR SCENES

       

                  ARS-P6.4 – EDGE DETECTION METHOD OF GAUSSIAN BLOCK DISTANCE

       

                  ARS-P6.5 – ROBUST STATISTICAL SHAPE ANALYSIS BASED ON THE TANGENT SHAPE SPACE

       

                  ARS-P6.6 – TEMPLATE-BASED STATISTICAL SHAPE MODELLING ON DEFORMATION SPACE

       

       

      ARS-P7: Face and Gesture I

      Monday, 16:30-18:30

      Poster

      Room: Poster H

       

                  ARS-P7.1 – A ROBUST GESTURE RECOGNITION USING HAND LOCAL DATA AND SKELETON TRAJECTORY.

       

                  ARS-P7.2 – MAXIMUM ENTROPY REGULARIZED GROUP COLLABORATIVE REPRESENTATION FOR FACE RECOGNITION

       

                  ARS-P7.3 – PARETO-OPTIMAL DISCRIMINANT ANALYSIS

       

                  ARS-P7.4 – FACIAL LANDMARK DETECTION VIA CASCADE MULTI-CHANNEL CONVOLUTIONAL NEURAL NETWORK

       

                  ARS-P7.5 – FACIAL POINT DETECTION USING CONVOLUTIONAL NEURAL NETWORKS TRANSFERRED FROM A HETEROGENEOUS TASK

       

                  ARS-P7.6 – FACIAL POINT DETECTION BASED ON A CONVOLUTIONAL NEURAL NETWORK WITH OPTIMAL MINI-BATCH PROCEDURE

       

       

      ARS-P9: Face Processing

      Monday, 16:30-18:30

      Poster

      Room: Poster E

       

                  ARS-P9.1 – L1-GRASSMANN MANIFOLDS FOR ROBUST FACE RECOGNITION

       

                  ARS-P9.2 – REFLECTANCE SPECTRA BASED SKIN AND NON-SKIN CLASSIFICATION

       

                  ARS-P9.3 – FACIAL AGE ESTIMATION VIA EXTENDED CURVATURE GABOR FILTER

       

                  ARS-P9.4 – CROSS-POSE COLOR FACIAL EXPRESSION RECOGNITION USING TRANSDUCTIVE TRANSFER LINEAR DISCRIMINAT ANALYSIS

       

                  ARS-P9.5 – FACIAL LANDMARK DETECTION VIA POSE-INDUCED AUTO-ENCODER NETWORKS

       

                  ARS-P9.6 – FACE DETECTION AND LANDMARK LOCALIZATION USING BILAYER TREE STRUCTURED MODEL

       

       

      COM-P7: Video Streaming

      Monday, 16:30-18:30

      Poster

      Room: Poster O

       

                  COM-P7.1 – AN EXTENSION TO THE PRO-MPEG COP3 CODES FOR UNEQUAL ERROR PROTECTION OF REAL-TIME VIDEO TRANSMISSION

       

                  COM-P7.2 – COMPRESSED DOMAIN VIDEO PROCESSING FOR TILE BASED PANORAMIC STREAMING USING HEVC

       

                  COM-P7.3 – PREDICTIVE PREFETCHING FOR MPEG DASH OVER LTE NETWORKS

       

                  COM-P7.4 – UNEQUAL ERROR PROTECTION FOR REAL-TIME VIDEO STREAMING USING EXPANDING WINDOW REED-SOLOMON CODE

       

                  COM-P7.5 – IN-NETWORK VIEW RE-SAMPLING FOR INTERACTIVE FREE VIEWPOINT VIDEO STREAMING

       

                  COM-P7.6 – A FAIRNESS-AWARE SMOOTH RATE ADAPTATION APPROACH FOR DYNAMIC HTTP STREAMING

       

       

      ELI-P4: Detection and Classification

      Monday, 16:30-18:30

      Poster

      Room: Poster A

       

                  ELI-P4.1 – MULTI-LOOK PROCESSING OF HIGH-RESOLUTION SAS DATA FOR IMPROVED TARGET DETECTION PERFORMANCE

       

                  ELI-P4.2 – LEARNING OCCLUSION PATTERNS USING SEMANTIC PHRASES FOR OBJECT DETECTION

       

                  ELI-P4.3 – IMPROVING BACKGROUND ESTIMATION FOR FAINT ASTRONOMICAL OBJECT DETECTION

       

                  ELI-P4.4 – AUTOMATIC DETECTION OF MARTIAN DUST STORMS FROM HETEROGENEOUS DATA BASED ON DECISION LEVEL FUSION

       

                  ELI-P4.5 – MULTI-INSTANCE LEARNING VIA INSTANCE-BASED AND BAG-BASED REPRESENTATION TRANSFORMATIONS

       

                  ELI-P4.6 – REGULARIZATION OF DEEP NEURAL NETWORKS USING A NOVEL COMPANION OBJECTIVE FUNCTION

       

       

      IFS-O1: Forensic Video and Surveillance

      Monday, 16:30-18:30

      Lecture

      Room: 205C

       

      16:30    IFS-O1.1 – ABNORMAL EVENT DETECTION VIA ADAPTIVE CASCADE DICTIONARY LEARNING

       

      16:50    IFS-O1.2 – CBRA: COLOR-BASED RANKING AGGREGATION FOR PERSON RE-IDENTIFICATION

       

      17:10    « IFS-O1.3 – EXPLOITING MULTIPLE DETECTIONS TO LEARN ROBUST BRIGHTNESS TRANSFER FUNCTIONS IN RE-IDENTIFICATION SYSTEMS

       

      17:30    IFS-O1.4 – IMPACT OF MINI-DRONE BASED VIDEO SURVEILLANCE ON INVASION OF PRIVACY

       

      17:50    IFS-O1.5 – PREDICTIVE MULTIPLE MOTION FIELDS FOR TRAJECTORY COMPLETION: APPLICATION TO SURVEILLANCE SYSTEMS.

       

      18:10    IFS-O1.6 – TEXTURE-BASED VESSEL CLASSIFIER FOR ELECTRO-OPTICAL SATELLITE IMAGERY

       

       

      SNT-S3: Show & Tell III

      Monday, 16:30-18:30

      Show & Tell

      Room: Show & Tell

       

      16:30    SNT-S3.1 – SHAPE PRIOR IMAGE SEGMENTATION AND DISOCCLUSION

       

      16:50    SNT-S3.2 – IMAGE CIPHERING TO ENSURE PRIVACY ON OPEN IMAGE-SHARING PLATFORMS

       

      17:10    SNT-S3.3 – A COMPARISON OF ITERATIVE COMPRESSIVE SENSING RECOVERY ALGORITHMS

       

      17:30    SNT-S3.4 – DEEP STRUCTURED LEARNING FOR MASS SEGMENTATION IN MAMMOGRAMS

       

       

      SS8-O1: Big Data Big Media Data Processing and Analysis for Film Production

      Monday, 16:30-18:30

      Lecture

      Room: 205B

       

      16:30    « SS8-O1.1 – MULTI-MODAL BIG-DATA MANAGEMENT FOR FILM PRODUCTION

       

      16:50    SS8-O1.2 – KERNEL MATRIX TRIMMING FOR IMPROVED KERNEL K-MEANS CLUSTERING

       

      17:10    SS8-O1.3 – COVERAGE EVALUATION OF CAMERA NETWORKS FOR FACILITATING BIG-DATA MANAGEMENT IN FILM PRODUCTION

       

      17:30    SS8-O1.4 – QUALITY ASSURANCE IN LARGE COLLECTIONS OF VIDEO SEQUENCES

       

      17:50    SS8-O1.5 – COMBINED 2D AND 3D WEB-BASED VISUALISATION OF ON-SET BIG MEDIA DATA

       

       

      TEC-P10: Image Recovery and Enhancement

      Monday, 16:30-18:30

      Poster

      Room: Poster N

       

                  « TEC-P10.1 – EXAMPLE-BASED ENHANCEMENT OF DEGRADED VIDEO

       

                  TEC-P10.2 – AUTOMATIC CONTRAST ENHANCEMENT BY VARIATIONAL MINIMAX OPTIMIZATION

       

                  TEC-P10.3 – DARK IMAGE ENHANCEMENT BASED ON PAIRWISE TARGET CONTRAST AND MULTI-SCALE DETAIL BOOSTING

       

                  « TEC-P10.4 – EFFICIENT REGRESSION PRIORS FOR REDUCING IMAGE COMPRESSION ARTIFACTS

       

                  TEC-P10.5 – FAST SINGLE IMAGE DEHAZING WITH DOMAIN TRANSFORMATION-BASED EDGE-PRESERVING FILTER AND WEIGHED QUADTREE SUBDIVISION

       

                  TEC-P10.6 – GRADIENT-DOMAIN IMAGE DECOMPOSITION FOR IMAGE RECOVERY

       

       

      TEC-P13: Image Restoration and Denoising

      Monday, 16:30-18:30

      Poster

      Room: Poster M

       

                  TEC-P13.1 – IMAGE DEBLOCKING USING GROUP-BASED SPARSE REPRESENTATION AND QUANTIZATION CONSTRAINT PRIOR

       

                  TEC-P13.2 – A BAYESIAN ADAPTIVE WEIGHTED TOTAL GENERALIZED VARIATION MODEL FOR IMAGE RESTORATION

       

                  TEC-P13.3 – SECOND ORDER MUMFORD-SHAH MODEL FOR IMAGE DENOISING

       

                  « TEC-P13.4 – PSF ACCURACY MEASURE FOR EVALUATION OF BLUR ESTIMATION ALGORITHMS

       

                  TEC-P13.5 – AN A-CONTRARIO APPROACH TO QUASI-PERIODIC NOISE REMOVAL

       

       

      TEC-P30: Image Denoising and Recovery

      Monday, 16:30-18:30

      Poster

      Room: Poster L

       

                  TEC-P30.1 – SUPER RESOLUTION RECONSTRUCTION USING GRAPH LAPLACIAN PENALIZATION

       

                  TEC-P30.2 – LOW-RANK REGULARIZED COLLABORATIVE FILTERING FOR IMAGE DENOISING

       

                  « TEC-P30.3 – AUGMENTED LAGRANGIAN WITHOUT ALTERNATING DIRECTIONS:PRACTICAL ALGORITHMS FOR INVERSE PROBLEMS IN IMAGING

       

                  TEC-P30.4 – A MAXIMAL INTEREST-POINT STRATEGY APPLIED TO IMAGE ENHANCEMENT WITH EXTERNAL PRIORS

       

                  TEC-P30.5 – INTER-CHANNEL RELATION BASED VECTORIAL TOTAL VARIATION FOR COLOR IMAGE RECOVERY

       

       

      TEC-P8: Image and Video Restoration and Enhancement

      Monday, 16:30-18:30

      Poster

      Room: Poster J

       

                  TEC-P8.1 – ANALYSIS ON SPECTRAL EFFECTS OF DARK-CHANNEL PRIOR FOR HAZE REMOVAL

       

                  TEC-P8.2 – MOTION DRIVEN TONAL STABILIZATION

       

                  TEC-P8.3 – SPECULAR REFLECTION REMOVAL USING LOCAL STRUCTURAL SIMILARITY AND CHROMATICITY CONSISTENCY

       

                  TEC-P8.4 – RECOVERING INTRINSIC IMAGES FROM IMAGE SEQUENCES USING TOTAL VARIATION MODELS

       

                  TEC-P8.5 – SUPERPIXEL BASED PATCH MATCH FOR DIFFERENTLY EXPOSED IMAGES WITHMOVING OBJECTS AND CAMERA MOVEMENTS

       

                  « TEC-P8.6 – SINGLE UNDERWATER IMAGE ENHANCEMENT USING DEPTH ESTIMATION BASED ON BLURRINESS

       

       

      TEC-P9: Image Enhancement and Segmentation

      Monday, 16:30-18:30

      Poster

      Room: Poster K

       

                  TEC-P9.1 – A MOTION-TEXTURE AWARE DENOISING FOR ECONOMIC HARDWARE DESIGN

       

                  TEC-P9.2 – HIGH DYNAMIC RANGE MAP ESTIMATION VIA FULLY CONNECTED RANDOM FIELDS WITH STOCHASTIC CLIQUES

       

                  TEC-P9.3 – CONTRAST ENHANCEMENT OF BACK-LIGHT IMAGES VIA A REGIONAL RANK-1 CONSTRAINT

       

                  TEC-P9.4 – CHANNEL DETECTION IN MICROSCOPE IMAGES OF MATERIALS USING MARKEDPOINT PROCESS MODELING

       

                  TEC-P9.5 – HALO CONTROL FOR LHE BASED LOCAL ADAPTIVE TONE MAPPING

       

                  TEC-P9.6 – DETECTING SPECULAR HIGHLIGHTS IN DERMATOLOGICAL IMAGES

       

       

      CKTL-E: Banquet Cocktail

      Monday, 19:00-20:00

      Social Event

      Room: Foyer 2

       

       

      BQT-E: Banquet

      Monday, 20:00-23:00

      Social Event

      Room: 200AB

    • Tuesday, Sept. 29

      +

       

      PLE-N2: Plenary ‒ Advances in Computational Imaging

      Tuesday, 09:00-10:00

      Plenary

      Room: 200AB

       

       

      ARS-O2: Classification II

      Tuesday, 10:30-12:30

      Lecture

      Room: 205B

       

      10:30    « ARS-O2.1 – SEMANTIC EMBEDDING SPACE FOR ZERO-SHOT ACTION RECOGNITION

       

      10:50    ARS-O2.2 – DEEP-PLANT: PLANT IDENTIFICATION WITH CONVOLUTIONAL NEURAL NETWORKS

       

      11:10    ARS-O2.3 – BRUSHSTROKE BASED SPARSE HYBRID CONVOLUTIONAL NEURAL NETWORKS FOR AUTHOR CLASSIFICATION OF CHINESE INK-WASH PAINTINGS

       

      11:30    ARS-O2.4 – PRE-TRAINING CONVOLUTIONAL NEURAL NETWORKS: IS FINE-TUNE ALWAYS PREQUISITE?

       

      11:50    ARS-O2.5 – SEMI-SUPERVISED LEARNING BASED ON GROUP SPARSE FOR RELATIVE ATTRIBUTES

       

      12:10    ARS-O2.6 – MULTI-CLASS WEATHER CLASSIFICATION ON SINGLE IMAGES

       

       

      ARS-O5: Face Recognition I

      Tuesday, 10:30-12:30

      Lecture

      Room: 205C

       

      10:30    ARS-O5.1 – A ROBUST CONTOUR SAMPLING AND TENSOR-BASED APPROACH TO FACIAL BEARD AND MUSTACHE SHAPE SEGMENTATION AND MATCHING

       

      10:50    ARS-O5.2 – A FEATURE SUBTRACTION METHOD FOR IMAGE BASED KINSHIP VERIFICATION UNDER UNCONTROLLED ENVIRONMENTS

       

      11:10    ARS-O5.3 – AN EFFICIENT FACE CLASSIFICATION METHOD BASED ON SHARED AND CLASS-SPECIFIC DICTIONARY LEARNING

       

      11:30    ARS-O5.4 – BOOSTING 3D LBP-BASED FACE RECOGNITION BY FUSING SHAPE AND TEXTURE DESCRIPTORS ON THE MESH

       

      11:50    ARS-O5.5 – ENCODING AND DECODING LOCAL BINARY PATTERNS FOR HARSH FACE ILLUMINATION NORMALIZATION

       

      12:10    ARS-O5.6 – FACE IMAGE ASSESSMENT LEARNED WITH OBJECTIVE AND RELATIVE FACE IMAGE QUALITIES FOR IMPROVED FACE RECOGNITION

       

       

      ARS-P12: Foreground/Background Separation I

      Tuesday, 10:30-12:30

      Poster

      Room: Poster A

       

                  ARS-P12.1 – REFLECTION REMOVAL USING DISPARITY AND GRADIENT-SPARSITY VIA SMOOTHING ALGORITHM

       

                  ARS-P12.2 – MOVING CAMERA HUMAN ACTIVITY LOCALIZATION AND RECOGNITION WITH MOTIONPLANES AND MULTIPLE HOMOGRAPHIES

       

                  ARS-P12.3 – DEPTH-WEIGHTED GROUP-WISE PRINCIPAL COMPONENT ANALYSIS FOR VIDEO FOREGROUND/BACKGROUND SEPARATION

       

                  ARS-P12.4 – MULTIMODAL TOPIC MODELING BASED GEO-ANNOTATION FOR SOCIAL EVENT DETECTION IN LARGE PHOTO COLLECTIONS

       

                  ARS-P12.5 – TOWARDS AUTOMATING VISUAL IN-FIELD MONITORING OF CROP HEALTH

       

                  ARS-P12.6 – ROBUST AND FAST MOVING OBJECT DETECTION IN A NON-STATIONARY CAMERA VIA FOREGROUND PROBABILITY BASED SAMPLING

       

       

      ARS-P13: Human Activity Recognition I

      Tuesday, 10:30-12:30

      Poster

      Room: Poster C

       

                  ARS-P13.1 – ACTIVITY RECOGNITION AND DETECTION WITH DISCRIMINATIVE PATCHES

       

                  ARS-P13.2 – ENHANCED DEFORMABLE PART MODEL FOR PEDESTRIAN DETECTION VIA JOINT STATE INFERENCE

       

                  ARS-P13.3 – CROWD MOTION MONITORING USING TRACKLET-BASED COMMOTION MEASURE

       

                  « ARS-P13.4 – UGRASP: A UNIFIED FRAMEWORK FOR ACTIVITY RECOGNITION AND PERSON IDENTIFICATION USING GRAPH SIGNAL PROCESSING

       

                  ARS-P13.5 – TOWARDS PRIVACY-PRESERVING RECOGNITION OF HUMAN ACTIVITIES

       

                  ARS-P13.6 – DETECTION OF PEDESTRIAN CROSSING ROAD

       

       

      ARS-P48: Human Activity Recognition II

      Tuesday, 10:30-12:30

      Poster

      Room: Poster D

       

                  ARS-P48.1 – HUMAN ACTION RECOGNITION USING TIME-INVARIANT KEY-TRAJECTORIESDESCRIBING SPATIO-TEMPORAL SALIENT MOTION

       

                  ARS-P48.2 – STRUCTURED FEATURE-GRAPH MODEL FOR HUMAN ACTIVITY RECOGNITION

       

                  ARS-P48.3 – CROWD MODELING USING SOCIAL NETWORKS

       

                  ARS-P48.4 – TOWARDS DEFINING GROUPS AND CROWDS IN VIDEO USING THE ATOMIC GROUP ACTIONS DATASET

       

                  ARS-P48.5 – REAL-LIFE VIOLENT SOCIAL INTERACTION DETECTION

       

                  ARS-P48.6 – CLASS-SPECIFIC SPARSE CODES FOR REPRESENTING ACTIVITIES

       

       

      ARS-P49: Foreground/Background Separation II

      Tuesday, 10:30-12:30

      Poster

      Room: Poster B

       

                  « ARS-P49.1 – A NOVEL BACKGROUND SUBTRACTION APPROACH BASED ON MULTI LAYERED SELF-ORGANIZING MAPS

       

                  « ARS-P49.2 – BACKGROUND MODELING IN VIDEOS REVISITED USING FINITE MIXTURES OF GENERALIZED GAUSSIANS AND SPATIAL INFORMATION

       

                  ARS-P49.3 – MULTIPLE FEATURES BASED SHARED MODELS FOR BACKGROUND SUBTRACTION

       

                  ARS-P49.4 – RECOVERING BACKGROUND REGIONS IN VIDEOS OF CLUTTERED URBAN SCENES

       

                  ARS-P49.5 – BACKGROUND SUBTRACTION FOR STATIC & MOVING CAMERA

       

                  ARS-P49.6 – MULTI-TEMPORAL FOREGROUND DETECTION IN VIDEOS

       

       

      COI-O1: Tomographic Imaging

      Tuesday, 10:30-12:30

      Lecture

      Room: 204A

       

      10:30    COI-O1.1 – REGION BASED 4D TOMOGRAPHIC IMAGE RECONSTRUCTION: APPLICATION TO CARDIAC X-RAY CT

       

      10:50    COI-O1.2 – DETERMINING FLUCTUATION IN BIO-NANOMACHINES FROM ELECTRONMICROSCOPY IMAGES

       

      11:10    « COI-O1.3 – JOINT METAL ARTIFACT REDUCTION AND SEGMENTATION OF CT IMAGES USING DICTIONARY-BASED IMAGE PRIOR AND CONTINUOUS-RELAXED POTTS MODEL

       

      11:30    COI-O1.4 – 4D NON-LOCAL MEANS POST-FILTERING FOR CARDIAC GATED SPECT

       

      11:50    COI-O1.5 – PET IMAGE RECONSTRUCTION AND DENOISING ON HEXAGONAL LATTICES

       

      12:10    COI-O1.6 – OPTICAL COHERENCE TOMOGRAPHY IMAGE SEGMENTATION

       

       

      COM-P2: Image and Video Coding I

      Tuesday, 10:30-12:30

      Poster

      Room: Poster L

       

                  COM-P2.1 – LOW-COMPLEXITY BLOCK SIZE DECISION FOR HEVC INTRA CODING USING BINARYIMAGE FEATURE DESCRIPTORS

       

                  COM-P2.2 – A REGULARIZATION APPROACH FOR BAYER RECONSTRUCTION IN LOSSY IMAGE CODING BY INVERSE DEMOSAICING

       

                  COM-P2.3 – HIGH-THROUGHPUT AND LOW-COMPLEXITY BINARY ARITHMETIC DECODER BASED ON LOGARITHMIC DOMAIN

       

                  COM-P2.4 – ROTATE INTRA BLOCK COPY FOR STILL IMAGE CODING

       

                  COM-P2.5 – DEPENDENT RANDOM ACCESS POINT PICTURES IN HEVC

       

                  COM-P2.6 – RATE-DISTORTION EVALUATION FOR TWO-LAYER CODING SYSTEMS

       

       

      COM-P3: Image and Video coding III

      Tuesday, 10:30-12:30

      Poster

      Room: Poster N

       

                  COM-P3.1 – SPARSE LEAST-SQUARES PREDICTION FOR INTRA IMAGE CODING

       

                  COM-P3.2 – A MULTI-STANDARD INTERPOLATION HARDWARE SOLUTION FOR H.264 AND HEVC

       

                  COM-P3.3 – CONTRIBUTIONS TO LOSSLESS CODING OF MEDICAL IMAGES USING MINIMUM RATE PREDICTORS

       

                  COM-P3.4 – DATA RATE AND DYNAMIC RANGE COMPRESSION OF MEDICAL IMAGES: WHICH ONE GOES FIRST?

       

                  COM-P3.5 – FAST CU PARTITION DECISION USING MACHINE LEARNING FOR SCREEN CONTENT COMPRESSION

       

                  COM-P3.6 – OPTIMAL BIT ALLOCATION IN HEVC FOR REAL-TIME VIDEO COMMUNICATIONS

       

       

      COM-P8: Image and Video Coding II

      Tuesday, 10:30-12:30

      Poster

      Room: Poster M

       

                  COM-P8.1 – SHAPE ENCODING FOR EDGE MAP IMAGE COMPRESSION

       

                  « COM-P8.2 – UNIVERSAL LOSSLESS CODING WITH RANDOM USER ACCESS: THE COST OF INTERACTIVITY

       

                  COM-P8.3 – RETINAL-INSPIRED FILTERING FOR DYNAMIC IMAGE CODING

       

                  « COM-P8.4 – A DUAL BLOCK COORDINATE PROXIMAL ALGORITHM WITH APPLICATION TO DECONVOLUTION OF INTERLACED VIDEO SEQUENCES

       

                  COM-P8.5 – LOSSLESS SCREEN CONTENT CODING IN HEVC BASED ON SAMPLE-WISE MEDIAN AND EDGE PREDICTION

       

       

      COM-P9: Image and Video coding IV

      Tuesday, 10:30-12:30

      Poster

      Room: Poster O

       

                  COM-P9.1 – VLSI FRIENDLY FAST CU/PU MODE DECISION FOR HEVC INTRA ENCODING:LEVERAGING CONVOLUTION NEURAL NETWORK

       

                  COM-P9.2 – ROI-BASED RATE CONTROL USING TILES FOR AN HEVC ENCODED VIDEO STREAMOVER A LOSSY NETWORK

       

                  COM-P9.3 – 3.975MW 18.396GBPS 2R2W SRAM FOR SBAC CONTEXT MODEL OF HEVC

       

                  COM-P9.4 – SHANNON-KOTELNIKOV MAPPINGS FOR SOFTCAST-BASED JOINT SOURCE-CHANNEL VIDEO CODING

       

                  COM-P9.5 – PIXEL-GRAIN PREDICTION AND K-ORDER UEG-RICE ENTROPY CODING ORIENTED LOSSLESS FRAME MEMORY COMPRESSION FOR MOTION ESTIMATION IN HEVC

       

                  « COM-P9.6 – SEAMLESS SWITCHING OF H.265/HEVC-CODED DASH REPRESENTATIONS WITH OPEN GOP PREDICTION STRUCTURE

       

       

      ELI-O1: 3D Image Processing

      Tuesday, 10:30-12:30

      Lecture

      Room: 203

       

      10:30    ELI-O1.1 – LARGE-AREA DEPTH RECOVERY FOR RGB-D CAMERA

       

      10:50    ELI-O1.2 – REFRACTIVE STEREO RAY TRACING FOR RECONSTRUCTING UNDERWATER STRUCTURES

       

      11:10    ELI-O1.3 – SIPF: SCALE INVARIANT POINT FEATURE FOR 3D POINT CLOUDS

       

      11:30    ELI-O1.4 – EFFICIENT IMAGE-SPACE EXTRACTION AND REPRESENTATION OF 3D SURFACE TOPOGRAPHY

       

      11:50    ELI-O1.5 – IMPROVING CALIBRATION OF THERMAL STEREO CAMERAS USING HEATED CALIBRATION BOARD

       

      12:10    ELI-O1.6 – COLOR-CODED PATTERN FOR NON METRIC CAMERA CALIBRATION

       

       

      ELI-P1: 3D Models and Applications

      Tuesday, 10:30-12:30

      Poster

      Room: Poster H

       

                  ELI-P1.1 – ALBEDO ASSISTED HIGH-QUALITY SHAPE RECOVERY FROM 4D LIGHT FIELDS

       

                  ELI-P1.2 – INTEL REALSENSE = REAL LOW COST GAZE

       

                  ELI-P1.3 – 3D FACIAL MODEL SYNTHESIS USING COUPLED DICTIONARIES

       

                  ELI-P1.4 – GENERATING A 3D HAND MODEL FROM FRONTAL COLOR AND RANGE SCANS

       

                  ELI-P1.5 – LEARNING-BASED DEPTH ESTIMATION FROM 2D IMAGES USING GIST AND SALIENCY

       

                  ELI-P1.6 – IMPROVED 3D SPARSE MAPS FOR HIGH-PERFORMANCE SFM WITH LOW-COST OMNIDIRECTIONAL ROBOTS

       

       

      ELI-P13: Image Processing Systems

      Tuesday, 10:30-12:30

      Poster

      Room: Poster G

       

                  ELI-P13.1 – FUSION OF MULTISPECTRAL AND PANCHROMATIC IMAGES BASED ON A NOVEL INTER-BAND STRUCTURE MODEL

       

                  ELI-P13.2 – EFFECTIVE DOCUMENT IMAGE DEBLURRING VIA GRADIENT HISTOGRAM PRESERVATION

       

                  ELI-P13.3 – ITERATIVE ALGORITHMS FOR SPECTRAL ESTIMATION WITH SPATIAL SMOOTHING

       

                  ELI-P13.4 – A NOVEL BINARIZATION APPROACH FOR TEXT IN IMAGES

       

                  « ELI-P13.5 – HYPERSPECTRAL CLASSIFICATION USING A COMPOSITE KERNEL DRIVEN BY NEAREST-NEIGHBOR SPATIAL FEATURES

       

                  ELI-P13.6 – PERCEPTUAL BACKLIGHT SCALING FOR LOW POWER LIQUID CRYSTAL DISPLAYS BASED ON VISUAL SALIENCY

       

       

      GOYT-W: Industry Workshop: Imaging DSP at Google/YouTube

      Tuesday, 10:30-12:30

      Workshop

      Room: 206A

       

       

      NEW-P1: Stereoscopic, Multiview and 3-D Coding

      Tuesday, 10:30-12:30

      Poster

      Room: Poster J

       

                  « NEW-P1.1 – ON THE ACCURACY OF POINT LOCALISATION IN A CIRCULAR CAMERA-ARRAY

       

                  NEW-P1.2 – LOW COMPLEXITY UNSUPERVISED MULTI-CAMERA COLOR CALIBRATION WITHAPPLICATION TO PANORAMIC VIDEO CAPTURING

       

                  NEW-P1.3 – SUPER-RESOLUTION IMAGE SYNTHESIS USING THE PHYSICAL PIXEL ARRANGEMENT OF A LIGHT FIELD CAMERA

       

                  NEW-P1.4 – RANK ANALYSIS OF A LIGHT FIELD FOR DUAL-LAYER 3D DISPLAYS

       

                  NEW-P1.5 – CDF 9/7 WAVELETS AS SPARSIFYING OPERATOR IN COMPRESSIVE HOLOGRAPHY

       

       

      NEW-P2: Multidimensional Processing

      Tuesday, 10:30-12:30

      Poster

      Room: Poster K

       

                  NEW-P2.1 – ANGLE CONSTRAINED PATH FOR CLUSTERING OF MULTIPLE MANIFOLDS

       

                  NEW-P2.2 – SYNTHESIS OF LIGHT-FIELD RAW DATA FROM RGB-D IMAGES

       

                  NEW-P2.3 – COMPLEX MODULATION COMPUTER-GENERATED HOLOGRAM BY A FAST HYBRID POINT-SOURCE/WAVE-FIELD APPROACH

       

                  NEW-P2.4 – A FRAMEWORK FOR VIEW-DEPENDENT HOLOGRAM REPRESENTATION AND ADAPTIVE RECONSTRUCTION

       

                  NEW-P2.5 – 3D WINDOW LOCALIZATION ON BUILDING FACADES FROM AERIAL IMAGES

       

                  NEW-P2.6 – BUILDING CHANGE DETECTION BASED ON 3D RECONSTRUCTION

       

       

      SMR-O2: Image Segmentation and Classification

      Tuesday, 10:30-12:30

      Lecture

      Room: 205A

       

      10:30    SMR-O2.1 – MULTI-KERNEL COLLABORATIVE REPRESENTATION FOR IMAGE CLASSIFICATION

       

      10:50    SMR-O2.2 – THE HIDDEN STRUCTURE OF IMAGE DATASETS

       

      11:10    SMR-O2.3 – WITHIN-CLASS PENALTY BASED MULTI-CLASS SUPPORT VECTOR MACHINE

       

      11:30    « SMR-O2.4 – PARTIALLY TAGGED IMAGE CLUSTERING

       

      11:50    SMR-O2.5 – TOWARDS REDUCTION OF THE TRAINING AND SEARCH RUNNING TIME COMPLEXITIES FOR NON-RIGID OBJECT SEGMENTATION

       

      12:10    SMR-O2.6 – A SPLITTING-AND-GROUPING BASED MULTI-MODEL FITTING FOR COMPUTER VISION

       

       

      SNT-S4: Show & Tell IV

      Tuesday, 10:30-12:30

      Show & Tell

      Room: Show & Tell

       

      10:30    SNT-S4.1 – PRACTICAL OPTIMIZATION ALGORITHMS FOR IMAGE PROCESSING

       

      10:50    SNT-S4.2 – APPLYING IMAGE ANALYSIS TO ASSESS FOOD AESTHETICS AND UNIQUENESS

       

      11:10    SNT-S4.3 – EFFICIENT REGRESSION PRIORS FOR REDUCING IMAGE COMPRESSION ARTIFACTS

       

      11:30    SNT-S4.4 – UTILIZING IMAGE-BASED FEATURES IN BIOMEDICAL DOCUMENT CLASSIFICATION

       

       

      SS7-O1: Computational Imaging

      Tuesday, 10:30-12:30

      Lecture

      Room: 202

       

      10:30    SS7-O1.1 – COMPUTATIONAL LIGHTING DESIGN

       

      10:50    « SS7-O1.2 – MODEL-BASED IMAGE RECONSTRUCTION OF CHEMILUMINESCENCEUSING A PLENOPTIC 2.0 CAMERA

       

      11:10    « SS7-O1.3 – 3-D IMAGE RECONSTRUCTION FOR BIO NANOMACHINES WITH HELICAL SYMMETRY: IMAGE FORMATION THEORY

       

      11:30    SS7-O1.4 – SAMPLING OPTIMIZATION FOR ON-CHIP COMPRESSIVE VIDEO

       

      11:50    SS7-O1.5 – MODEL-BASED ITERATIVE RECONSTRUCTION FOR MAGNETIC RESONANCE FINGERPRINTING

       

      12:10    « SS7-O1.6 – AN AUGMENTED LAGRANGIAN METHOD FOR IMAGE RECONSTRUCTION WITH MULTIPLE FEATURES

       

       

      TEC-O3: Image Enhancement, Deblurring and Denoising

      Tuesday, 10:30-12:30

      Lecture

      Room: 204B

       

      10:30    TEC-O3.1 – IMAGE DEBLURRING USING ROBUST SPARSITY PRIORS

       

      10:50    TEC-O3.2 – REFERENCE IMAGE BASED METHOD OF REGION OF INTEREST ENHANCEMENT FOR HAZE IMAGE

       

      11:10    TEC-O3.3 – BLIND IMAGE DECONVOLUTION USING THE SYLVESTER MATRIX

       

      11:30    TEC-O3.4 – GROUP-BASED HYPERSPECTRAL IMAGE DENOISING USING LOW RANK REPRESENTATION

       

      11:50    TEC-O3.5 – IMAGE DENOISING VIA CODED APERTURE PHOTOGRAPHY

       

      12:10    TEC-O3.6 – A LOW-LIGHT IMAGE ENHANCEMENT METHOD FOR BOTH DENOISING AND CONTRAST ENLARGING

       

       

      TEC-P1: Automated Detection/ Tracking in Biomedical Images I

      Tuesday, 10:30-12:30

      Poster

      Room: Poster F

       

                  TEC-P1.1 – QUANTIFICATION OF THE 3D COLLAGEN NETWORK GEOMETRY IN CONFOCAL REFLECTION MICROSCOPY

       

                  TEC-P1.2 – MULTI-RESOLUTION SUPER-PIXELS AND THEIR APPLICATIONS ON FLUORESCENTMESENCHYMAL STEM CELLS IMAGES

       

                  TEC-P1.3 – A SENSITIVE AND EFFICIENT METHOD FOR MEASURING CHANGE IN CORTICALTHICKNESS USING FUZZY CORRESPONDENCE IN ALZHEIMER'S DISEASE

       

                  TEC-P1.4 – SIMULTANEOUS MOTION CORRECTION AND T1 ESTIMATION IN QUANTITATIVE T1 MAPPING: AN ML RESTORATION APPROACH

       

                  TEC-P1.5 – AN AUTOMATIC MUSCLE FIBER ORIENTATION TRACKING ALGORITHM USING BAYESIAN KALMAN FILTER FOR ULTRASOUND IMAGES

       

                  TEC-P1.6 – AUTOMATIC DETECTION OF BONE MARROW INFILTRATION BY MULTIPLE MYELOMA DETECTION IN LOW-DOSE CT

       

       

      TEC-P31: Automated Detection and tracking in Biomedical Images II

      Tuesday, 10:30-12:30

      Poster

      Room: Poster E

       

                  TEC-P31.1 – USING STEERABLE WAVELETS AND MINIMAL PATHS TO RECONSTRUCT AUTOMATICALLY FILAMENTS IN FLUORESCENCE IMAGING

       

                  TEC-P31.2 – HIERARCHICAL TUCKER TENSOR REGRESSION: APPLICATION TO BRAIN IMAGING DATA ANALYSIS

       

                  « TEC-P31.3 – DIAGNOSTIC COLOR ESTIMATION OF TISSUE COMPONENTS IN PATHOLOGY IMAGESVIA VON MISES MIXTURE MODEL

       

                  TEC-P31.4 – DENSE FEMUR RECONSTRUCTION FROM TWO X-RAY IMAGES USING GENERIC 3D MODEL WITH TWIST CORRECTION

       

                  TEC-P31.5 – A MULTI-FRAME OPTICAL FLOW SPOT TRACKER

       

                  TEC-P31.6 – RECOVERING SIZE AND SHAPE OF POLYP FROM ENDOSCOPE IMAGE BY RBF-NN MODIFICATION

       

       

      SGT-L: Get-Together Students-Employers Luncheon

      Tuesday, 12:30-14:00

      Lunch

      Room: 206B

       

       

      ARS-O21: Learning II

      Tuesday, 14:00-16:00

      Lecture

      Room: 205C

       

      14:00    ARS-O21.1 – SEMI-SUPERVISED LEARNING FOR FINE-GRAINED OBJECT RECOGNITION

       

      14:20    ARS-O21.2 – MAY THE TORCHER LIGHT OUR WAY: A NEGATIVE-ACCELERATED ACTIVE LEARNING FRAMEWORK FOR IMAGE CLASSIFICATION

       

      14:40    ARS-O21.3 – GEOMETRY-BASED RANKING FOR MOBILE 3D VISUAL SEARCH USING HIERARCHICALLY STRUCTURED MULTI-VIEW FEATURES

       

      15:00    ARS-O21.4 – MULTI-LABEL ACTIVE LEARNING WITH LABEL CORRELATION FOR IMAGE CLASSIFICATION

       

      15:20    ARS-O21.5 – CENTER-BASED WEIGHTED KERNEL LINEAR REGRESSION FOR IMAGE CLASSIFICATION

       

      15:40    ARS-O21.6 – THE USE OF DEEP LEARNING FEATURES IN A HIERARCHICAL CLASSIFIER LEARNED WITH THE MINIMIZATION OF A NON-GREEDY LOSS FUNCTION

       

       

      ARS-O6: Face Recognition II

      Tuesday, 14:00-16:00

      Lecture

      Room: 205A

       

      14:00    ARS-O6.1 – ROBUST POSE NORMALIZATION FOR FACE RECOGNITION UNDER VARYING VIEWS

       

      14:20    ARS-O6.2 – GRAPH REGULARIZED DISCRIMINANT ANALYSIS AND ITS APPLICATION TO FACE RECOGNITION

       

      14:40    ARS-O6.3 – LOCAL FEATURE LEARNING FOR FACE RECOGNITION UNDER VARYING POSES

       

      15:00    ARS-O6.4 – A GEOMETRICAL-MODEL-BASED FACE RECOGNITION

       

      15:20    ARS-O6.5 – A 3D FACE RECOGNITION METHOD USING REGION-BASED EXTENDED LOCAL BINARY PATTERN

       

      15:40    ARS-O6.6 – WEIGHTED SPARSE REPRESENTATION USING A LEARNED DISTANCE METRIC FOR FACE RECOGNITION

       

       

      ARS-O7: Image Retrieval

      Tuesday, 14:00-16:00

      Lecture

      Room: 204A

       

      14:00    ARS-O7.1 – LOAD-BALANCED LOCALITY-SENSITIVE HASHING: A NEW METHOD FOR EFFICIENT NEAR DUPLICATE IMAGE DETECTION

       

      14:20    ARS-O7.2 – RETRIEVING IMAGES COMBINING SALIENCY DETECTION WITH IRM

       

      14:40    ARS-O7.3 – ARTRIEVAL: PAINTING RETRIEVAL WITHOUT EXPERT KNOWLEDGE

       

      15:00    ARS-O7.4 – PRODUCT TREE QUANTIZATION FOR APPROXIMATE NEAREST NEIGHBOR SEARCH

       

      15:20    ARS-O7.5 – SEARCHING FOR NEAREST NEIGHBORS WITH A DENSE SPACE PARTITIONING

       

      15:40    ARS-O7.6 – RST-INVARIANT SKETCH RETRIEVAL BASED ON CIRCULAR DESCRIPTION

       

       

      ARS-P14: Human Body Analysis and Tracking

      Tuesday, 14:00-16:00

      Poster

      Room: Poster A

       

                  ARS-P14.1 – HUMAN POSE ESTIMATION WITH GLOBAL MOTION CUES

       

                  ARS-P14.2 – CONTEXT AWARE MODEL FOR ARTICULATED HUMAN POSE ESTIMATION

       

                  ARS-P14.3 – COMPUTATIONALLY EFFICIENT HUMAN POSE ESTIMATION WITH MULTI SOFTMAX DEEP CONVOLUTIONAL NEURAL NETWORK

       

                  ARS-P14.4 – IMPROVING BOOSTED PEDESTRIAN DETECTOR IN A SURVEILLANCE VIDEO

       

                  ARS-P14.5 – HAND GESTURE RECOGNITION AND SPOTTING IN UNCONTROLLED ENVIRONMENTS BASED ON CLASSIFIER WEIGHTING

       

                  ARS-P14.6 – REAL-TIME HUMAN BODY PARTS LOCALIZATION FROM DYNAMIC VISION SENSOR

       

       

      ARS-P17: Image Segmentation I

      Tuesday, 14:00-16:00

      Poster

      Room: Poster D

       

                  ARS-P17.1 – INTERACTIVE OBJECT SEGMENTATION USING SINGLE TOUCH

       

                  « ARS-P17.2 – MATERIAL CLASSIFICATION AND SEMANTIC SEGMENTATION OF RAILWAY TRACK IMAGES WITH DEEP CONVOLUTIONAL NEURAL NETWORKS

       

                  ARS-P17.3 – PARALLEL LIGHT SPEED LABELING: AN EFFICIENT CONNECTED COMPONENT LABELING ALGORITHM FOR MULTI-CORE PROCESSORS

       

                  « ARS-P17.4 – ROAD EXTRACTION VIA ADAPTIVE GRAPH CUTS WITH MULTIPLE FEATURES

       

                  ARS-P17.5 – FINE-STRUCTURED OBJECT SEGMENTATION VIA LOCAL AND NONLOCAL NEIGHBORHOOD PROPAGATION

       

       

      ARS-P19: Local Features

      Tuesday, 14:00-16:00

      Poster

      Room: Poster B

       

                  ARS-P19.1 – PLANT IDENTIFICATION USING TRIANGULAR REPRESENTATION BASED ON SALIENT POINTS AND MARGIN POINTS

       

                  ARS-P19.2 – HISTOGRAMS OF LOCALLY AGGREGATED ORIENTED GRADIENTS

       

                  ARS-P19.3 – TIGER: A TEXTURE-ILLUMINATION GUIDED ENERGY RESPONSE MODEL FOR ILLUMINATION ROBUST LOCAL SALIENCY

       

                  ARS-P19.4 – IMPROVING DISTINCTIVENESS OF BRISK FEATURES USING DEPTH MAPS

       

                  ARS-P19.5 – FAST-MATCH: FAST AND ROBUST FEATURE MATCHING ON LARGE IMAGES

       

                  ARS-P19.6 – PER-PATCH METRIC LEARNING FOR ROBUST IMAGE MATCHING

       

       

      ARS-P21: Multimedia Content Analysis

      Tuesday, 14:00-16:00

      Poster

      Room: Poster C

       

                  ARS-P21.1 – SCALABLE ACTION LOCALIZATION WITH KERNEL-SPACE HASHING

       

                  ARS-P21.2 – ANALYZING USER PREFERENCE FOR SOCIAL IMAGE RECOMMENDATION

       

                  ARS-P21.3 – VISUAL VOICE ACTIVITY DETECTION BASED ON SPATIOTEMPORAL INFORMATION AND BAG OF WORDS

       

                  ARS-P21.4 – EVENT RETRIEVAL USING MOTION BARCODES

       

                  ARS-P21.5 – LEARNING UNIFIED SPARSE REPRESENTATIONS FOR MULTI-MODAL DATA

       

       

      ARS-P45: Image Segmentation II

      Tuesday, 14:00-16:00

      Poster

      Room: Poster E

       

                  ARS-P45.1 – SEEDED LAPLACIAN: AN INTERACTIVE IMAGE SEGMENTATION APPROACH USING EIGENFUNCTIONS

       

                  ARS-P45.2 – LEARNING DISCRIMINATIVE OCCLUSION FEATURE FOR DEPTH ORDERING INFERENCE ON MONOCULAR IMAGE

       

                  ARS-P45.3 – COUPLED ENSEMBLE GRAPH CUTS AND OBJECT VERIFICATION FOR ANIMAL SEGMENTATION FROM HIGHLY CLUTTERED VIDEOS

       

                  « ARS-P45.4 – SELF-SUPERVISED ROAD DETECTION FROM A SINGLE IMAGE

       

                  ARS-P45.5 – SCREEN CONTENT IMAGE SEGMENTATION USING LEAST ABSOLUTE DEVIATION FITTING

       

                  ARS-P45.6 – TRANSDUCTIVE VIDEO CO-SEGMENTATION ON THE TEMPORAL TREES

       

       

      COM-O2: Video Coding I

      Tuesday, 14:00-16:00

      Lecture

      Room: 202

       

      14:00    « COM-O2.1 – FAST H.264 TO HEVC TRANSCODER BASED ON POST-ORDER TRAVERSAL OFQUADTREE STRUCTURE

       

      14:20    COM-O2.2 – MODE-DEPENDENT TRANSFORM COMPETITION FOR HEVC

       

      14:40    COM-O2.3 – HIGH PERFORMANCE LOOP FILTER FOR HEVC

       

      15:00    COM-O2.4 – IMAGE CODING WITH INCOMPLETE TRANSFORM COMPETITION FOR HEVC

       

      15:20    COM-O2.5 – FAST MOTION BLUR COMPENSATION IN HEVC USING FIXED-LENGTH FILTER

       

      15:40    COM-O2.6 – STATISTICAL APPROACH FOR MOTION ESTIMATION SKIPPING (SAMEK)

       

       

      ELI-O5: Multiview / 3D Video Coding

      Tuesday, 14:00-16:00

      Lecture

      Room: 203

       

      14:00    ELI-O5.1 – EFFICIENT DEPTH INTRA MODE DECISION BY REFERENCE PIXELS CLASSIFICATIONIN 3D-HEVC

       

      14:20    ELI-O5.2 – UPSAMPLED-VIEW DISTORTION OPTIMIZATION FOR MIXED RESOLUTION 3D VIDEO CODING

       

      14:40    ELI-O5.3 – EFFICIENT CALIBRATION FOR MULTI-PLANE HOMOGRAPHY USING A LASER LEVEL

       

      15:00    ELI-O5.4 – OVERVIEW OF THE MULTIVIEW HIGH EFFICIENCY VIDEO CODING (MV-HEVC) STANDARD

       

      15:20    ELI-O5.5 – FAST ENCODING OF 3D COLOR-PLUS-DEPTH VIDEO BASED ON 3D-HEVC

       

      15:40    ELI-O5.6 – BLOCK DEPENDANT DICTIONARY BASED DISPARITY COMPENSATION FOR STEREO IMAGE CODING

       

       

      ELI-P10: Text and Characters in Images

      Tuesday, 14:00-16:00

      Poster

      Room: Poster M

       

                  ELI-P10.1 – CHARACTER RECOGNITION FOR THE MACHINE READER ZONE OF ELECTRONIC IDENTITY CARDS

       

                  ELI-P10.2 – SCENE TEXT DETECTION BASED ON COMPONENT-LEVEL FUSION AND REGION-LEVEL VERIFICATION

       

                  ELI-P10.3 – FAST AND ACCURATE CANDIDATE REDUCTION USING THE MULTICLASS LDA FOR JAPANESE/CHINESE CHARACTER RECOGNITION

       

                  ELI-P10.4 – FEATURE EXTRACTION OF HANDWRITTEN KANNADA CHARACTERS USING CURVELETS AND PRINCIPAL COMPONENT ANALYSIS

       

                  ELI-P10.5 – A PATTERN RECOGNITION APPROACH TO MAKE ACCESSIBLE THE GEOGRAPHIC IMAGES FOR BLIND AND VISUALLY IMPAIRED

       

                  ELI-P10.6 – IN-AIR HANDWRITTEN CHINESE CHARACTER RECOGNITION USING MULTI-STAGE CLASSIFIER BASED ON ADAPTIVE DISCRIMINATIVE LOCALITY ALIGNMENT

       

       

      ELI-P11: 3D Object and Scene Reconstruction II

      Tuesday, 14:00-16:00

      Poster

      Room: Poster N

       

                  ELI-P11.1 – MESH SEGMENTATION WITH CONNECTING PARTS FOR 3D OBJECT PROTOTYPING

       

                  ELI-P11.2 – WHAT DOES A SINGLE LIGHT-RAY REVEAL ABOUT A TRANSPARENT OBJECT?

       

                  ELI-P11.3 – HIGH-ACCURACY 3D IMAGE STITCHING FOR ROBOT-BASED INSPECTION SYSTEMS

       

                  « ELI-P11.4 – RECONSTRUCTION FOR STOCHASTIC 3-D SIGNALS WITH SYMMETRIC STATISTICS IN NOISE: ELECTRON MICROSCOPY OF VIRUS PARTICLES

       

                  ELI-P11.5 – POINT SET REGISTRATION BASED ON IMPLICIT SURFACE FITTING WITH EQUIVALENT DISTANCE

       

                  ELI-P11.6 – STRUCTURED REPRESENTATION-BASED ROBUST AGILE-BEAM LADAR IMAGING

       

       

      ELI-P2: 3D Object and Scene Reconstruction I

      Tuesday, 14:00-16:00

      Poster

      Room: Poster O

       

                  ELI-P2.1 – VARIATIONAL MULTI-IMAGE STEREO MATCHING

       

                  ELI-P2.2 – FLUCTUATIONS OF DISPARITY SPACE IMAGE FOR STEREO MATCHING IN UNTEXTURED REGIONS

       

                  ELI-P2.3 – LEARNING DEPTH FROM A SINGLE IMAGE USING VISUAL-DEPTH WORDS

       

                  ELI-P2.4 – DEPTH EDGE BASED TRILATERAL FILTER METHOD FOR STEREO MATCHING

       

                  « ELI-P2.5 – DEPTH FROM ACCIDENTAL MOTION USING GEOMETRY PRIOR

       

                  ELI-P2.6 – USING LINE CONSISTENCY TO ESTIMATE 3D INDOOR MANHATTAN SCENE LAYOUT FROM A SINGLE IMAGE

       

       

      IFS-P1: Content and Privacy Protection

      Tuesday, 14:00-16:00

      Poster

      Room: Poster K

       

                  IFS-P1.1 – AFFECT-PRESERVING PRIVACY PROTECTION OF VIDEO

       

                  IFS-P1.2 – PHYLOGENY RECONSTRUCTION FOR MISALIGNED AND COMPRESSED VIDEO SEQUENCES

       

                  IFS-P1.3 – INVARIANT CHARACTERIZATION OF DOVID SECURITY FEATURES USING A PHOTOMETRIC DESCRIPTOR

       

                  IFS-P1.4 – FACE DE-IDENTIFICATION WITH EXPRESSIONS PRESERVATION

       

                  IFS-P1.5 – GRAPH REGULARIZED LOW-RANK MATRIX RECOVERY FOR ROBUST PERSON RE-IDENTIFICATION

       

                  IFS-P1.6 – NEAR-DUPLICATE DETECTION AND ALIGNMENT FOR MULTI-VIEW VIDEOS

       

       

      IFS-P3: Robust Hashing and Counter-forensics

      Tuesday, 14:00-16:00

      Poster

      Room: Poster L

       

                  IFS-P3.1 – A STUDY ON PUF CHARACTERISTICS FOR COUNTERFEIT DETECTION

       

                  IFS-P3.2 – REMOVING CAMERA FINGERPRINT TO DISGUISE PHOTOGRAPH SOURCE

       

                  IFS-P3.3 – MULTI-FEATURE HASHING BASED ON SNR MAXIMIZATION

       

                  IFS-P3.4 – COUNTERING ANTI-FORENSICS OF IMAGE RESAMPLING

       

       

      SMR-O3: Texture Representation

      Tuesday, 14:00-16:00

      Lecture

      Room: 204B

       

      14:00    SMR-O3.1 – A MULTI-SCALE LOCAL BINARY PATTERN BASED ON PATH INTEGRAL FOR TEXTURE CLASSIFICATION

       

      14:20    SMR-O3.2 – DISTRIBUTIONS OF LOCAL RADIUS INDICES ON PERIODIC TESSELLATIONS

       

      14:40    SMR-O3.3 – MEDIAN ROBUST EXTENDED LOCAL BINARY PATTERN FOR TEXTURE CLASSIFICATION

       

      15:00    SMR-O3.4 – DATA-DRIVEN PROGRESSIVE COMPRESSION OF COLORED 3D MESH

       

      15:20    SMR-O3.5 – TEXTURE CHARACTERIZATION VIA IMPROVED DETERMINISTIC WALKS ON IMAGE-GENERATED COMPLEX NETWORK

       

      15:40    SMR-O3.6 – HISTOGRAM OF GRADIENT MAGNITUDES - A ROTATION INVARIANT TEXTURE-DESCRIPTOR

       

       

      SMR-P5: Image Representation

      Tuesday, 14:00-16:00

      Poster

      Room: Poster J

       

                  SMR-P5.1 – MULTI-SCALE BISECTOR INTEGRALS: AN INVARIANT DESCRIPTOR FOR ACCURATE SHAPE RETRIEVAL

       

                  SMR-P5.2 – SHORT LOCAL DESCRIPTORS FROM 2D CONNECTED PATTERN SPECTRA

       

                  SMR-P5.3 – PERFORMANCE ANALYSIS OF RETARGETING PYRAMID AND ITS APPLICATIONS

       

                  SMR-P5.4 – SCENE TEXT RECOGNITION WITH DEEPER CONVOLUTIONAL NEURAL NETWORKS

       

                  SMR-P5.5 – ANISOTROPIC DATA-SPECIFIC WAVELETS FOR STRUCTURE-AWARE IMAGE PROCESSING

       

                  SMR-P5.6 – AN ARRAY-BASED NODE-ORIENTED MAX-TREE REPRESENTATION

       

       

      SMR-P7: Object-based Representation

      Tuesday, 14:00-16:00

      Poster

      Room: Poster H

       

                  SMR-P7.1 – DISTINCTIVE ACTION SKETCH

       

                  SMR-P7.2 – A NEW UNSUPERVISED MODEL OF ACTION RECOGNITION

       

                  SMR-P7.3 – DIMENSIONALITY REDUCTION BY SUPERVISED LOCALITY ANALYSIS

       

                  SMR-P7.4 – ROBUST LOCAL AND GLOBAL SHAPE CONTEXT FOR TATTOO IMAGE MATCHING

       

                  SMR-P7.5 – TERRORISM VIDEO RECOGNITION WITH SEMANTIC CONCEPTS DETECTING AND RE-RANKING

       

                  SMR-P7.6 – SALIENCE BASED HIERARCHICAL FUZZY REPRESENTATION FOR OBJECTRECOGNITION

       

       

      SNT-S5: Show & Tell V

      Tuesday, 14:00-16:00

      Show & Tell

      Room: Show & Tell

       

      14:00    SNT-S5.1 – CALIBRATION TOOL FOR POST-PRODUCTION

       

      14:20    SNT-S5.2 – POINT LOCALISATION FROM MULTI-CAMERA SYSTEMS: PERFORMANCE BOUNDS AND ALGORITHMS

       

      14:40    SNT-S5.3 – GOAL-ORIENTED TOP-DOWN PROBABILISTIC VISUAL ATTENTION MODEL FOR RECOGNITION OF MANIPULATED OBJECTS IN EGOCENTRIC VIDEOS

       

      15:00    SNT-S5.4 – JOINT OPTIMIZATION APPROACH TO METAL ARTIFACT REDUCTION AND SEGMENTATION FOR CT IMAGES

       

       

      SS6-O1: Compact Descriptor for Visual Search

      Tuesday, 14:00-16:00

      Lecture

      Room: 205B

       

      14:00    SS6-O1.1 – COLOR NAMES LEARNING USING CONVOLUTIONAL NEURAL NETWORKS

       

      14:20    SS6-O1.2 – AN EFFECTIVE EYE STATES DETECTION METHOD BASED ON THE PROJECTION OF THE GRAY INTERVAL DISTRIBUTION

       

      14:40    SS6-O1.3 – LEARNING DEEP COMPACT DESCRIPTOR WITH BAGGING AUTO-ENCODERS FOR OBJECT RETRIEVAL

       

      15:00    SS6-O1.4 – AN EFFICIENT CODING FRAMEWORK FOR COMPACT DESCRIPTORS EXTRACTED FROM VIDEO SEQUENCE

       

      15:20    SS6-O1.5 – SENTIMENT ANALYSIS OF CHINESE MICRO-BLOG BASED ON MULTI-MODAL CORRELATION MODEL

       

       

      TEC-P18: Multi-image and Video Super-Resolution and Restoration

      Tuesday, 14:00-16:00

      Poster

      Room: Poster F

       

                  TEC-P18.1 – HYBRID SUPER-RESOLUTION COMBINING EXAMPLE-BASED SINGLE-IMAGE AND INTERPOLATION-BASED MULTI-IMAGE RECONSTRUCTION APPROACHES

       

                  « TEC-P18.2 – DICTIONARY-BASED MULTIPLE FRAME VIDEO SUPER-RESOLUTION

       

                  TEC-P18.3 – FLUOROSOCOPIC SEQUENCE DENOISING USING A MOTION COMPENSATED MULTI-SCALE TEMPORAL FILTERING

       

                  « TEC-P18.4 – FACIAL VIDEO SUPER RESOLUTION USING SEMANTIC EXEMPLAR COMPONENTS

       

                  TEC-P18.5 – SUPER-RESOLUTION FOR INCONSISTENT SCALABLE VIDEO STREAMING

       

                  TEC-P18.6 – MULTI-POSE FACE HALLUCINATION VIA NEIGHBOR EMBEDDING FOR FACIAL COMPONENTS

       

       

      TEC-P32: Medical Image Analysis

      Tuesday, 14:00-16:00

      Poster

      Room: Poster G

       

                  TEC-P32.1 – ACCELERATED MICROSTRUCTURE IMAGING VIA CONVEX OPTIMISATION FOR REGIONS WITH MULTIPLE FIBRES (AMICO_X)

       

                  TEC-P32.2 – DETECTING DIFFERENT SUB-TYPES OF ACUTE MYELOGENOUS LEUKEMIA USING DICTIONARY LEARNING AND SPARSE REPRESENTATION

       

                  TEC-P32.3 – AN ALGORITHM BASED ON LBPV AND MIL FOR LEFT ATRIAL THROMBI DETECTION USING TRANSESOPHAGEAL ECHOCARDIOGRAPHY

       

                  TEC-P32.4 – BEATING CILIA IDENTIFICATION IN FLUORESCENCE MICROSCOPE IMAGES FOR ACCURATE CBF MEASUREMENT

       

                  TEC-P32.5 – OPTIMAL TRANSPORT USING HELMHOLTZ-HODGE DECOMPOSITION AND FIRST-ORDER PRIMAL-DUAL ALGORITHMS

       

                  TEC-P32.6 – CLASS-SPECIFIC HIERARCHICAL CLASSIFICATION FOR HEP-2 SPECIMEN IMAGES

       

       

      ARS-O19: Visual Biometrics

      Tuesday, 16:30-18:30

      Lecture

      Room: 205B

       

      16:30    ARS-O19.1 – FACE LIVENESS DETECTION AND RECOGNITION USING SHEARLET BASED FEATURE DESCRIPTORS

       

      16:50    « ARS-O19.2 – FACE ANTI-SPOOFING BASED ON COLOR TEXTURE ANALYSIS

       

      17:10    ARS-O19.3 – RETINA VERIFICATION USING A COMBINED POINTS AND EDGES APPROACH

       

      17:30    ARS-O19.4 – IRIS SUPER-RESOLUTION VIA NONPARAMETRIC OVER-COMPLETE DICTIONARY LEARNING

       

      17:50    ARS-O19.5 – HIGH-ORDER INFORMATION FOR ROBUST IRIS RECOGNITION UNDER LESS CONTROLLED CONDITIONS

       

      18:10    ARS-O19.6 – EVALUATING THE EFFECTS OF IMAGE COMPRESSION IN MOIRÉ-PATTERN-BASED FACE-SPOOFING DETECTION

       

       

      ARS-O3: Discriminative Local Features

      Tuesday, 16:30-18:30

      Lecture

      Room: 203

       

      16:30    ARS-O3.1 – HYBRID CODING OF VISUAL CONTENT AND LOCAL IMAGE FEATURES

       

      16:50    « ARS-O3.2 – COMPARING FEATURE DETECTORS: A BIAS IN THE REPEATABILITY CRITERIA.

       

      17:10    ARS-O3.3 – IMPROVING SURF INTEREST POINT DETECTION FOR DEFOCUS BLUR ROBUSTNESS

       

      17:30    ARS-O3.4 – ASPLÜND'S METRIC DEFINED IN THE LOGARITHMIC IMAGE PROCESSING (LIP) FRAMEWORK FOR COLOUR AND MULTIVARIATE IMAGES

       

      17:50    ARS-O3.5 – ROBUST TEXTURE FEATURES BASED ON UNDECIMATED DUAL-TREE COMPLEX WAVELETS AND LOCAL MAGNITUDE BINARY PATTERNS

       

      18:10    ARS-O3.6 – SPATIAL MATCHING OF SKETCHES WITHOUT POINT CORRESPONDENCE

       

       

      ARS-P22: Object Detection & Classification

      Tuesday, 16:30-18:30

      Poster

      Room: Poster B

       

                  ARS-P22.1 – A STATE SPACE APPROACH TO VISUAL OBJECT TRACKING

       

                  ARS-P22.2 – FILTERING SVM FRAME-BY-FRAME BINARY CLASSIFICATION IN A DETECTION FRAMEWORK

       

                  ARS-P22.3 – MOVING OBJECT DETECTION FROM MOVING PLATFORMS USING LAGRANGE MULTIPLIER

       

                  ARS-P22.4 – SCALE ESTIMATION WITH DIFFERENCE OF ORDERED RESIDUALS

       

                  « ARS-P22.5 – OBJECTNESS ESTIMATION USING EDGES

       

                  ARS-P22.6 – EFFICIENT 2×2 BLOCK-BASED CONNECTED COMPONENTS LABELING ALGORITHMS

       

       

      ARS-P23: Object Detection and Tracking II

      Tuesday, 16:30-18:30

      Poster

      Room: Poster A

       

                  « ARS-P23.1 – FITTING 3D MORPHABLE MODELS USING LOCAL FEATURES

       

                  ARS-P23.2 – IMPROVING DEEP CONVOLUTIONAL NEURAL NETWORKS WITH UNSUPERVISED FEATURE LEARNING

       

                  ARS-P23.3 – ADAPTIVE SEARCH OF BACKGROUND MODELS FOR OBJECT DETECTION IN IMAGES TAKEN BY MOVING CAMERAS

       

                  ARS-P23.4 – MULTIPLE KERNEL BOOSTING BASED TRACKING USING POOLING FEATURES

       

                  « ARS-P23.5 – QUALITY CONTROL IN CROWDSOURCED OBJECT SEGMENTATION

       

                  ARS-P23.6 – EFFECT OF CAMERA-IMU DISPLACEMENT CALIBRATION ERROR ON TRACKING PERFORMANCE

       

       

      ARS-P28: Scene Analysis I

      Tuesday, 16:30-18:30

      Poster

      Room: Poster D

       

                  ARS-P28.1 – LIVE VIDEO SYNOPSIS FOR MULTIPLE CAMERAS

       

                  ARS-P28.2 – NOISE CORRECTION OF IMAGE LABELING IN CROWDSOURCING

       

                  ARS-P28.3 – THREE-DIMENSIONAL RECONSTRUCTION FROM HETEROGENEOUS VIDEO DEVICES WITH CAMERA-IN-VIEW INFORMATION

       

                  ARS-P28.4 – CROWD FLOW SEGMENTATION IN COMPRESSED DOMAIN USING CRF

       

                  ARS-P28.5 – IMPROVED RAINDROP DETECTION USING COMBINED SHAPE AND SALIENCY DESCRIPTORS WITH SCENE CONTEXT ISOLATION

       

                  ARS-P28.6 – ACTIVITY RECOGNITION WITH VOLUME MOTION TEMPLATES AND HISTOGRAMS OF 3D GRADIENTS

       

       

      ARS-P35: Visual Learning with Domain Adaptation

      Tuesday, 16:30-18:30

      Poster

      Room: Poster C

       

                  ARS-P35.1 – BLURRED IMAGE RECOGNITION USING DOMAIN ADAPTATION

       

                  ARS-P35.2 – ADAPTIVE MULTI-TASK LEARNING FOR FINE-GRAINED CATEGORIZATION

       

                  ARS-P35.3 – UNSUPERVISED DOMAIN ADAPTION DICTIONARY LEARNING FOR VISUAL RECOGNITION

       

                  ARS-P35.4 – KERNEL SUBSPACE ALIGNMENT FOR UNSUPERVISED DOMAIN ADAPTATION

       

                  « ARS-P35.5 – CROSS-DOMAIN RECOGNITION BY IDENTIFYING COMPACT JOINT SUBSPACES

       

                  ARS-P35.6 – CONNECTING THE DOTS WITHOUT CLUES: UNSUPERVISED DOMAIN ADAPTATION FOR CROSS-DOMAIN VISUAL CLASSIFICATION

       

       

      ARS-P44: Scene Analysis II

      Tuesday, 16:30-18:30

      Poster

      Room: Poster E

       

                  ARS-P44.1 – OUTDOOR SCENE LABELLING WITH LEARNED FEATURES AND REGION CONSISTENCY ACTIVATION

       

                  ARS-P44.2 – IMPROVING EGOCENTRIC VISION OF DAILY ACTIVITIES

       

                  ARS-P44.3 – AN ITERATIVE CONVERGENCE ALGORITHM FOR SINGLE/MULTI GROUND PLANE DETECTION AND ANGLE ESTIMATION WITH RGB-D CAMERA

       

                  ARS-P44.4 – DEPTH ESTIMATION BY ANALYZING INTENSITY DISTRIBUTION FOR LIGHT-FIELD CAMERAS

       

                  ARS-P44.5 – COMBINING NONUNIFORM SAMPLING, HYBRID SUPER VECTOR AND RANDOM FOREST WITH DISCRIMINATIVE DECISION TREES FOR ACTION RECOGNITION

       

                  ARS-P44.6 – A SPATIAL CLASS LDA MODEL FOR CLASSIFICATION OF SPORTS SCENE IMAGES

       

       

      ELI-O8: Document Analysis

      Tuesday, 16:30-18:30

      Lecture

      Room: 205A

       

      16:30    ELI-O8.1 – CAPTURED OPEN BOOK IMAGE DE-WARPING USING DEPTH INFORMATION

       

      16:50    ELI-O8.2 – SKEW CORRECTION AND LINE EXTRACTION IN BINARIZED PRINTED TEXT IMAGES

       

      17:10    ELI-O8.3 – GAMMA CORRECTION ACCELERATION FOR REAL-TIME TEXT EXTRACTION FROM COMPLEX COLORED IMAGES

       

      17:30    ELI-O8.4 – SCENE TEXT DETECTION USING SEQUENTIAL NONTEXT FILTERING

       

      17:50    ELI-O8.5 – FONT FINDER: VISUAL RECOGNITION OF TYPEFACE IN PRINTED DOCUMENTS

       

      18:10    ELI-O8.6 – A LAYERED METHOD FOR DETERMINING MANGA TEXT BUBBLE READING ORDER

       

       

      SMR-P11: Image and Video Quality Assessment III

      Tuesday, 16:30-18:30

      Poster

      Room: Poster N

       

                  SMR-P11.1 – SUBJECTIVE AND OBJECTIVE EVALUATION OF IMAGE INPAINTING QUALITY

       

                  SMR-P11.2 – IMAGE QUALITY EVALUATION USING IMAGE QUALITY RULER AND GRAPHICAL MODEL

       

                  SMR-P11.3 – 3D PERCEPTION BASED QUALITY POOLING ON STEREOSCOPIC IMAGE

       

                  SMR-P11.4 – REDUCED-REFERENCE QUALITY ASSESSMENT BASED ON THE ENTROPY OF DNTCOEFFICIENTS OF LOCALLY WEIGHTED GRADIENTS

       

                  SMR-P11.5 – SALIENCY WEIGHTED QUALITY ASSESSMENT OF TONE-MAPPED IMAGES

       

                  « SMR-P11.6 – FULL-REFERENCE VISUAL QUALITY ASSESSMENT FOR SYNTHETIC IMAGES: A SUBJECTIVE STUDY

       

       

      SMR-P2: Image and Video Quality Assessment I

      Tuesday, 16:30-18:30

      Poster

      Room: Poster L

       

                  SMR-P2.1 – STUDYING HUMAN BEHAVIOURAL RESPONSES TO TIME-VARYING DISTORTIONS FOR VIDEO QUALITY ASSESSMENT

       

                  SMR-P2.2 – THE QUEST FOR THE INTEGRATION OF VISUAL SALIENCY MODELS IN OBJECTIVE IMAGE QUALITY ASSESSMENT: A DISTRACTION POWER COMPENSATED COMBINATION STRATEGY

       

                  « SMR-P2.3 – NO-REFERENCE QUALITY ASSESSMENT OF CONTRAST-DISTORTED IMAGES BASED ON NATURAL SCENE STATISTICS

       

                  SMR-P2.4 – SIMULTANEOUS ESTIMATION OF IMAGE QUALITY AND DISTORTION VIA MULTI-TASK CONVOLUTIONAL NEURAL NETWORKS

       

                  SMR-P2.5 – COMPARISON OF SUBJECTIVE VIEWING TEST METHODS FOR IMAGE QUALITY ASSESSMENT

       

       

      SMR-P3: Image and Video Quality Assessment II

      Tuesday, 16:30-18:30

      Poster

      Room: Poster M

       

                  SMR-P3.1 – ON THE IMPROVEMENT OF NO-REFERENCE MEAN OPINION SCORE ESTIMATION ACCURACY BY FOLLOWING A FRAME-LEVEL REGRESSION APPROACH

       

                  SMR-P3.2 – NO-REFERENCE IMAGE QUALITY ASSESSMENT FOR REMOVAL OF PROCESSED ANDUNPROCESSED NOISE

       

                  SMR-P3.3 – DIFFERENCE OF GAUSSIAN STATISTICAL FEATURES BASED BLIND IMAGE QUALITY ASSESSMENT: A DEEP LEARNING APPROACH

       

                  SMR-P3.4 – ASSESSING THE VISUAL EFFECT OF NON-PERIODIC TEMPORAL VARIATION OF QUANTIZATION STEPSIZE IN COMPRESSED VIDEO

       

                  SMR-P3.5 – A STUDY OF SUBJECTIVE VIDEO QUALITY AT VARIOUS FRAME RATES

       

                  SMR-P3.6 – IMAGE QUALITY ASSESSMENT BASED ON DCT SUBBAND SIMILARITY

       

       

      SMR-P4: Image Quality Assessment

      Tuesday, 16:30-18:30

      Poster

      Room: Poster O

       

                  SMR-P4.1 – QUALITY PREDICTION OF ASYMMETRICALLY COMPRESSED STEREOSCOPIC VIDEOS

       

                  SMR-P4.2 – REDUCED-REFERENCE PERCEPTUAL QUALITY ASSESSMENT FOR VIDEO STREAMING

       

                  « SMR-P4.3 – A HIGHLY EFFICIENT METHOD FOR BLIND IMAGE QUALITY ASSESSMENT

       

                  SMR-P4.4 – PERSIM: MULTI-RESOLUTION IMAGE QUALITY ASSESSMENT IN THE PERCEPTUALLYUNIFORM COLOR DOMAIN

       

                  SMR-P4.5 – LIMITATIONS OF THE SSIM QUALITY METRIC IN THE CONTEXT OF DIAGNOSTIC IMAGING

       

                  SMR-P4.6 – PERCEPTUAL QUALITY ASSESSMENT OF DENOISED IMAGES

       

       

      SNT-S6: Show & Tell VI

      Tuesday, 16:30-18:30

      Show & Tell

      Room: Show & Tell

       

      16:30    SNT-S6.1 – DEFORMABLE MODELS FOR THE CONSTRUCTION OF 3D USER-INTERACTIVE SEGMENTATION ALGORITHMS

       

      16:50    SNT-S6.2 – FACIAL VIDEO SUPER RESOLUTION USING SEMANTIC EXEMPLAR COMPONENTS

       

      17:10    SNT-S6.3 – ROBUST ANOMALY DETECTION FOR VISION-BASED INSPECTION OF RAILWAY COMPONENTS

       

      17:30    SNT-S6.4 – STATISTICAL IMAGE RECONSTRUCTION FOR SYMMETRIC VIRUS PARTICLES

       

       

      SS2-O1: Image/Video Indexing and Retrieval for Healthcare

      Tuesday, 16:30-18:30

      Lecture

      Room: 202

       

      16:30    SS2-O1.1 – COMPUTATIONALLY EFFICIENT RECOGNITION OF ACTIVITIES OF DAILY LIVING

       

      16:50    SS2-O1.2 – FEATURE SALIENCY ANALYSIS FOR PERCEPTUAL SIMILARITY OF CLUSTERED MICROCALCIFICATIONS

       

      17:10    « SS2-O1.3 – BARCODE ANNOTATIONS FOR MEDICAL IMAGE RETRIEVAL: A PRELIMINARY INVESTIGATION

       

      17:30    « SS2-O1.4 – OBJECT RECOGNITION WITH TOP-DOWN VISUAL ATTENTION MODELING FOR BEHAVIORAL STUDIES

       

      17:50    SS2-O1.5 – IDENTIFYING EPILEPTIC SEIZURES BASED ON A TEMPLATE-BASED EYEBALL DETECTION TECHNIQUE

       

       

      TEC-O1: Compressed Sensing

      Tuesday, 16:30-18:30

      Lecture

      Room: 204B

       

      16:30    TEC-O1.1 – RECONSTRUCTION OF COMPRESSIVELY SAMPLED LIGHT FIELDS USING A WEIGHTED 4D-DCT BASIS

       

      16:50    TEC-O1.2 – NONCONVEX RECONSTRUCTION FOR LOW-DIMENSIONAL FLUORESCENCE MOLECULAR TOMOGRAPHIC POISSON OBSERVATIONS

       

      17:10    « TEC-O1.3 – BM3D-AMP: A NEW IMAGE RECOVERY ALGORITHM BASED ON BM3D DENOISING

       

      17:30    TEC-O1.4 – IMAGE SUPER-RESOLUTION FROM COMPRESSED SENSING OBSERVATIONS

       

      17:50    TEC-O1.5 – LOCAL SENSING WITH GLOBAL RECOVERY

       

      18:10    TEC-O1.6 – MULTI-RESOLUTION COMPRESSED SENSING RECONSTRUCTION VIA APPROXIMATEMESSAGE PASSING

       

       

      TEC-O2: Image Denoising

      Tuesday, 16:30-18:30

      Lecture

      Room: 204A

       

      16:30    TEC-O2.1 – IMAGE DENOISING USING OPTIMALLY WEIGHTED BILATERAL FILTERS: A SURE AND FAST APPROACH

       

      16:50    TEC-O2.2 – DA3D: FAST AND DATA ADAPTIVE DUAL DOMAIN DENOISING

       

      17:10    TEC-O2.3 – IMAGE DENOISING IN MULTIPLICATIVE NOISE

       

      17:30    TEC-O2.4 – ROTATION INVARIANT SIMILARITY MEASURE FOR NON-LOCAL SELF-SIMILARITY BASED IMAGE DENOISING

       

      17:50    TEC-O2.5 – ROBUST CONTRAST ENHANCEMENT OF NOISY LOW-LIGHT IMAGES: DENOISING-ENHANCEMENT-COMPLETION

       

      18:10    TEC-O2.6 – PSEUDO FOUR-CHANNEL IMAGE DENOISING FOR NOISY CFA RAW DATA

       

       

      TEC-P20: Neurological Feature Extraction and Classification

      Tuesday, 16:30-18:30

      Poster

      Room: Poster H

       

                  TEC-P20.1 – ASYMMETRY EVALUATION OF FUNDUS IMAGES IN RIGHT AND LEFT EYES USING RADON TRANSFORM AND FRACTAL ANALYSIS

       

                  TEC-P20.2 – SENSORY LOAD HIERARCHY-BASED CLASSIFICATION OF SCHIZOPHRENIA PATIENTS

       

                  TEC-P20.3 – REGION-BASED BRAIN SELECTION AND CLASSIFICATION ON PET IMAGES FOR ALZHEIMERS DISEASE COMPUTER AIDED DIAGNOSIS

       

                  TEC-P20.4 – SUBJECT-CENTERED MULTI-VIEW FEATURE FUSION FOR NEUROIMAGING RETRIEVAL AND CLASSIFICATION

       

                  TEC-P20.5 – CLASSIFICATION OF EEG SIGNALS FOR DETECTION OF EPILEPTIC SEIZURE ACTIVITIES BASED ON LBP DESCRIPTOR OF TIME-FREQUENCY IMAGES

       

                  TEC-P20.6 – ULTRASOUND MEDIAN NERVE LOCALIZATION BY CLASSIFICATION BASED ON DESPECKLE FILTERING AND FEATURE SELECTION

       

       

      TEC-P23: Single-image Superresolution

      Tuesday, 16:30-18:30

      Poster

      Room: Poster F

       

                  « TEC-P23.1 – FAST IMAGE SUPER-RESOLUTION VIA SELECTIVE MANIFOLD LEARNING OFHIGH-RESOLUTION PATCHES

       

                  TEC-P23.2 – INCORPORATING IMAGE DEGENERATION MODELING WITH MULTITASK LEARNING FOR IMAGE SUPER-RESOLUTION

       

                  TEC-P23.3 – ADAPTIVE AUTOREGRESSIVE MODEL WITH WINDOW EXTENSION VIA EXPLICIT GEOMETRY FOR IMAGE INTERPOLATION

       

                  TEC-P23.4 – ROBUST INTERNAL EXEMPLAR-BASED IMAGE ENHANCEMENT

       

                  TEC-P23.5 – FAST SINGLE-IMAGE UPSAMPLING WITH RELATIVE EDGE GROWTH RATE PRIORS

       

                  TEC-P23.6 – SAMPLING PIECEWISE SMOOTH SIGNALS AND ITS APPLICATION TO IMAGE UP-SAMPLING

       

       

      TEC-P27: Visual Signal Analysis

      Tuesday, 16:30-18:30

      Poster

      Room: Poster J

       

                  TEC-P27.1 – FAST SPATIALLY VARYING OBJECT MOTION BLUR ESTIMATION

       

                  TEC-P27.2 – VESSEL REGION DETECTION IN CORONARY X-RAY ANGIOGRAMS

       

                  TEC-P27.3 – UNDERSTANDING SYMMETRIC SMOOTHING FILTERS VIA GAUSSIAN MIXTURES

       

                  TEC-P27.4 – A FUZZY APPROACH TO REAL-TIME DIGITAL COLOR REPRODUCTION OF CLOTHING WITH 3D CAMERA

       

                  TEC-P27.5 – MULTI-OBJECTIVE OPTIMIZATION BASED ON PARAMETER TUNING OF CLAHE TO ACHIEVE DIFFERENT CONTRAST LEVELS IN MEDICAL IMAGES

       

                  TEC-P27.6 – SDM-BSM: A FUSING DEPTH SCHEME FOR HUMAN ACTION RECOGNITION

       

       

      TEC-P3: Computer-assisted Screening and Diagnosis

      Tuesday, 16:30-18:30

      Poster

      Room: Poster K

       

                  TEC-P3.1 – REGION MATCHING BASED ON LOCAL STRUCTURE INFORMATION IN IPSILATERAL DIGITAL BREAST TOMOSYNTHESIS VIEWS

       

                  TEC-P3.2 – PREDICTION OF FACIAL SOFT TISSUE DEFORMATIONS WITH IMPROVED RUBIN-BODNER MODEL AFTER CRANIOMAXILLOFACIAL (CMF) SURGERY

       

                  TEC-P3.3 – FEATURES-BASED APPROACH FOR ALZHEIMER'S DISEASE DIAGNOSIS USING VISUAL PATTERN OF WATER DIFFUSION IN TENSOR DIFFUSION IMAGING

       

                  TEC-P3.4 – MODEL-BASED (PASSIVE) HEART RATE ESTIMATION USING REMOTE VIDEO RECORDING OF MOVING HUMAN SUBJECTS ILLUMINATED BY AMBIENT LIGHT

       

                  TEC-P3.5 – COMPUTER AIDED ENDOSCOPE DIAGNOSIS VIA WEAKLY LABELED DATA MINING

       

       

      TEC-P5: Energy- and Graph-based Approaches

      Tuesday, 16:30-18:30

      Poster

      Room: Poster G

       

                  TEC-P5.1 – SEGMENTATION OF CELLS IN ELECTRON MICROSCOPY IMAGES THROUGH MULTIMODAL LABEL TRANSFER

       

                  TEC-P5.2 – DYNAMIC BI-MODAL FUSION OF IMAGES FOR THE SEGMENTATION OF POLLEN TUBES IN VIDEO

       

                  « TEC-P5.3 – COST AGGREGATION TABLE: A THEORETIC DERIVATION ON THE MARKOV RANDOM FIELD AND ITS RELATION TO MESSAGE PASSING

       

                  « TEC-P5.4 – AUTOMATIC SEGMENTATION OF NATURAL IMAGES WITH ANISOTROPIC FAST MARCHING ALGORITHM AND GEODESIC VOTING

       

                  TEC-P5.5 – SEGMENTATION OF LIVER TUMOR VIA NONLOCAL ACTIVE CONTOURS

       

                  TEC-P5.6 – SEGMENTATION OF INFANT BRAIN MR IMAGES BASED ON ADAPTIVE SHAPE PRIOR AND HIGHER-ORDER MGRF

       

       

      YPE-E: SPS Young Professionals and Practicing Engineers Networking Event

      Tuesday, 17:00-19:00

      Social Event

      Room: National Assembly Library

    • Wednesday, Sept. 30

      +

       

      PLE-N3: Plenary ‒ Challenges and Opportunities in Biological Imaging

      Wednesday, 09:00-10:00

      Plenary

      Room: 200AB

       

       

      ARS-O8: Image Segmentation III

      Wednesday, 10:30-12:30

      Lecture

      Room: 205A

       

      10:30    « ARS-O8.1 – A NEW MUMFORD-SHAH TYPE MODEL INVOLVING A SMOOTHING OPERATOR FOR MULTIPHASE IMAGE SEGMENTATION

       

      10:50    ARS-O8.2 – FIXATION POINT-BASED IMAGE SEGMENTATION USING RANDOM WALK MODEL

       

      11:10    ARS-O8.3 – A SPARSE CODING METHOD FOR SEMI-SUPERVISED SEGMENTATION WITH MULTI-CLASS HISTOGRAM CONSTRAINTS

       

      11:30    ARS-O8.4 – UNSUPERVISED HIERARCHICAL IMAGE SEGMENTATION BASED ON BAYESIAN SEQUENTIAL PARTITIONING

       

      11:50    ARS-O8-1 – NANO-SCALE CONTEXT-SENSITIVE SEMANTIC SEGMENTATION

       

      12:10    ARS-O8-4 – USER INTERACTIVE SEGMENTATION WITH PARTIALLY GROWING RANDOM FOREST

       

       

      ARS-P1: Action Detection and Recognition I

      Wednesday, 10:30-12:30

      Poster

      Room: Poster A

       

                  « ARS-P1.1 – ACTION RECOGNITION WITH APPROXIMATE SPARSE CODING

       

                  ARS-P1.2 – MULTI-VIEW DESCRIPTOR MINING VIA CODEWORD NET FOR ACTION RECOGNITION

       

                  ARS-P1.3 – TRAFFIC ACCIDENT DETECTION THROUGH A HYDRODYNAMIC LENS

       

                  ARS-P1.4 – JOINT CLASSIFICATION OF ACTIONS WITH MATRIX COMPLETION

       

                  ARS-P1.5 – MULTI-LEVEL ACTION DETECTION VIA LEARNING LATENT STRUCTURE

       

                  ARS-P1.6 – 3-D SKELETON JOINTS-BASED ACTION RECOGNITION USING COVARIANCEDESCRIPTORS ON DISCRETE SPHERICAL HARMONICS TRANSFORM

       

       

      ARS-P47: Action Detection and Recognition II

      Wednesday, 10:30-12:30

      Poster

      Room: Poster B

       

                  ARS-P47.1 – ACTIVE IMAGE PAIR SELECTION FOR CONTINUOUS PERSON RE-IDENTIFICATION

       

                  ARS-P47.2 – MERGING LINEAR DISCRIMINANT ANALYSIS WITH BAG OF WORDS MODEL FOR HUMAN ACTION RECOGNITION

       

                  ARS-P47.3 – DEEP CCA BASED SUPER VECTOR FOR ACTION RECOGNITION

       

                  ARS-P47.4 – SPATIO-TEMPORAL PYRAMID CUBOID MATCHING FOR ACTION RECOGNITION USING DEPTH MAPS

       

                  ARS-P47.5 – LOCAL MEAN SPATIO-TEMPORAL FEATURE FOR DEPTH IMAGE-BASED SPEED-UP ACTION RECOGNITION

       

                  ARS-P47.6 – ACTION RECOGNITION USING JOINT COORDINATES OF 3D SKELETON DATA

       

       

      ARS-P52: Activity and Face Recognition

      Wednesday, 10:30-12:30

      Poster

      Room: Poster C

       

                  ARS-P52.1 – ADAPTIVE APPEARANCE LEARNING FOR HUMAN POSE ESTIMATION

       

                  ARS-P52.2 – BOOSTED HUMAN HEAD POSE ESTIMATION USING KINECT CAMERA

       

                  ARS-P52.3 – INSTANTANEOUS REAL-TIME HEAD POSE AT A DISTANCE

       

                  « ARS-P52.4 – ACCURATE HUMAN POSE ESTIMATION BY AGGREGATING MULTIPLE POSE HYPOTHESES USING MODIFIED KERNEL DENSITY APPROXIMATION

       

                  ARS-P52.5 – CROSS-MODALITY POSE-INVARIANT FACIAL EXPRESSION

       

       

      COM-P4: Media Analysis and Understanding

      Wednesday, 10:30-12:30

      Poster

      Room: Poster N

       

                  COM-P4.1 – REPOSITIONING THE SALIENT REGION OF VIDEOS BY USING ACTIVE ILLUMINATION

       

                  COM-P4.2 – LOCAL EXTREMA BASED DIGITAL DROPOUT DETECTION IN DEGRADED ARCHIVED MEDIA

       

                  COM-P4.3 – AUDIOVISUAL VOICE ACTIVITY DETECTION USING OFF-THE-SHELF CAMERAS

       

                  COM-P4.4 – PREDICTING AUDIO-VISUAL SALIENT EVENTS BASED ON VISUAL, AUDIO AND TEXT MODALITIES FOR MOVIE SUMMARIZATION

       

                  COM-P4.5 – DYNAMIC TEXTURE AND GEOMETRY FEATURES FOR FACIAL EXPRESSION RECOGNITION IN VIDEO

       

                  COM-P4.6 – ESTIMATION OF ANGULAR DIFFERENCE BETWEEN TOMOGRAPHIC PROJECTIONS TAKEN AT UNKNOWN DIRECTIONS IN 3D

       

       

      COM-P6: Video Communication and Networking

      Wednesday, 10:30-12:30

      Poster

      Room: Poster O

       

                  COM-P6.1 – AN ADAPTIVE LAGRANGE MULTIPLIER DETERMINATION METHOD FOR RATE-DISTORTION OPTIMISATION IN HYBRID VIDEO CODECS

       

                  COM-P6.2 – INFORMATION-THEORETIC ANALYSIS OF BLINN-PHONG LIGHTING WITH APPLICATION TO MOBILE CLOUD GAMING

       

                  COM-P6.3 – USER ADAPTIVE TRANSCODING FOR VIDEO TELECONFERENCING

       

                  COM-P6.4 – MODELING OF H.264/AVC BASED VIDEO TRANSMISSION DISTORTION OVER WIRELESS NETWORK

       

                  COM-P6.5 – SERVICE PROVISIONING AND PROFIT MAXIMIZATION IN NETWORK-ASSISTED ADAPTIVE HTTP STREAMING

       

                  COM-P6.6 – CLUSTER ENCODING FOR MODELLING THE TEMPORAL VARIATION IN VIDEO

       

       

      ELI-O6: Multiview Processing

      Wednesday, 10:30-12:30

      Lecture

      Room: 202

       

      10:30    ELI-O6.1 – GUIDED INTEGRAL FILTER FOR LIGHT FIELD STEREO MATCHING

       

      10:50    ELI-O6.2 – EFFICIENT COST VOLUME SAMPLING FOR PLANE SWEEPING BASED MULTIVIEW DEPTH ESTIMATION

       

      11:10    ELI-O6.3 – LQ-BUNDLE ADJUSTMENT

       

      11:30    ELI-O6.4 – SUPER-RESOLUTION FOR MIXED-RESOLUTION MULTIVIEW IMAGE PLUS DEPTH DATA USING A NOVEL TWO-STAGE HIGH-FREQUENCY EXTRAPOLATION METHOD FOR OCCLUDED AREAS

       

      11:50    ELI-O6.5 – A DATABASE OF REFLECTED IRRADIANCE FIELD WITH DEPTH FOR IMAGE BASED RELIGHTING

       

      12:10    ELI-O6.6 – OPTIMIZED MULTILEVEL FRINGE PATTERNS FOR REAL-TIME 3D SHAPE MEASUREMENT WITH DEFOCUSED PROJECTOR

       

       

      ELI-P6: Hardware, Parallel, and Distributed System

      Wednesday, 10:30-12:30

      Poster

      Room: Poster J

       

                  ELI-P6.1 – MITIGATING MEMORY REQUIREMENTS FOR RANDOM TREES/FERNS

       

                  ELI-P6.2 – A COMPLEXITY-BASED ADAPTIVE TILE PARTITIONING ALGORITHM FOR HEVC DECODER PARALLELIZATION

       

                  ELI-P6.3 – SVM WITH OPENCL: HIGH PERFORMANCE IMPLEMENTATION OF SUPPORT VECTOR MACHINES ON HETEROGENEOUS SYSTEMS

       

                  ELI-P6.4 – A LOW-POWER 490 MPIXELS/S HARDWARE ACCELERATOR FOR PYRAMIDAL DECOMPOSITION OF IMAGES

       

                  ELI-P6.5 – HEVC INVERSE TRANSFORM ARCHITECTURE UTILIZING COEFFICIENT SPARSITY

       

                  ELI-P6.6 – FAST 2D AND 3D IMAGE PROCESSING WITH OPENCL

       

       

      IFS-O2: Multimedia Forensics

      Wednesday, 10:30-12:30

      Lecture

      Room: 203

       

      10:30    IFS-O2.1 – INCREMENTAL UPDATE OF FEATURE EXTRACTOR FOR CAMERA IDENTIFICATION

       

      10:50    IFS-O2.2 – IDENTIFICATION OF ALIASING-BASED PATTERNS IN RE-CAPTURED LCD SCREENS

       

      11:10    IFS-O2.3 – SPATIAL DOMAIN QUANTIZATION NOISE BASED IMAGE FILTERING DETECTION

       

      11:30    IFS-O2.4 – IMAGE SPLICING DETECTION WITH LOCAL ILLUMINATION ESTIMATION

       

      11:50    IFS-O2.5 – SOURCE CAMERA DEVICE IDENTIFICATION BASED ON RAW IMAGES

       

       

      SMR-O4: Visual Aesthetics and Quality Assessment

      Wednesday, 10:30-12:30

      Lecture

      Room: 204B

       

      10:30    « SMR-O4.1 – A COMPREHENSIVE AESTHETIC QUALITY ASSESSMENT METHOD FOR NATURAL IMAGES USING BASIC RULES OF PHOTOGRAPHY

       

      10:50    SMR-O4.2 – VISUAL AESTHETIC QUALITY ASSESSMENT WITH A REGRESSION MODEL

       

      11:10    SMR-O4.3 – REGION-BASED IMAGE RETARGETING QUALITY ASSESSMENT

       

      11:30    SMR-O4.4 – AUTOMATIC ASSESSMENT OF ONLINE FASHION SHOPPING PHOTO AESTHETIC QUALITY

       

      11:50    SMR-O4.5 – IMAGE AESTHETICS DEPENDS ON CONTEXT

       

      12:10    SMR-O4.6 – PATH VS. DESTINATION: A CASE STUDY OF BLIND NOISE ASSESSMENT USING MODIFIED ANT SHORTEST PATH

       

       

      SMR-P10: Video Quality and Image-based Specific Application Assessment

      Wednesday, 10:30-12:30

      Poster

      Room: Poster H

       

                  SMR-P10.1 – A VERY LOW COMPLEXITY REDUCED REFERENCE VIDEO QUALITY METRIC BASED ON SPATIO-TEMPORAL INFORMATION SELECTION

       

                  SMR-P10.2 – AN OBJECTIVE 3D QUALITY ASSESSMENT MODEL TO ADJUST STEREO CAMERA BASELINE

       

                  SMR-P10.3 – PERCEPTUAL EVALUATION OF SINGLE IMAGE DEHAZING ALGORITHMS

       

                  SMR-P10.4 – OBJECTIVE QUALITY METRIC FOR 3D VIRTUAL VIEWS

       

                  SMR-P10.5 – A CURVELET-BASED DISTANCE MEASURE FOR SEISMIC IMAGES

       

                  SMR-P10.6 – BLIND MULTIPLY DISTORTED IMAGE QUALITY ASSESSMENT USING RELEVANT PERCEPTUAL FEATURES

       

       

      SNT-S7: Show & Tell VII

      Wednesday, 10:30-12:30

      Show & Tell

      Room: Show & Tell

       

      10:30    SNT-S7.1 – LANDMARK DETECTION AND 3D FACE RECONSTRUCTION USING MODERN C++

       

      10:50    SNT-S7.2 – HOW TO TRACK YOU HEART RATE WITH A CAMERA WHILE EXERCISING

       

      11:10    SNT-S7.3 – BARCODES - A NEW GENERATION OF BINARY DESCRIPTORS

       

      11:30    SNT-S7.4 – AUTOMATIC SEGMENTATION OF NATURAL IMAGE WITH ANISOTROPIC FAST MARCHING ALGORITHM AND GEODESIC VOTING

       

       

      SS10-O1: Perceptual Video Compression - for HEVC and Beyond

      Wednesday, 10:30-12:30

      Lecture

      Room: 205B

       

      10:30    SS10-O1.1 – A NO REFERENCE TEXTURE GRANULARITY INDEX AND APPLICATION TO VISUAL MEDIA COMPRESSION

       

      10:50    SS10-O1.2 – PERCEPTUAL SCREEN CONTENT IMAGE QUALITY ASSESSMENT AND COMPRESSION

       

      11:10    SS10-O1.3 – ADAPTIVE QUANTISATION IN HEVC FOR CONTOURING ARTEFACTS REMOVAL IN UHD CONTENT

       

      11:30    SS10-O1.4 – A VIDEO TEXTURE DATABASE FOR PERCEPTUAL COMPRESSION AND QUALITY ASSESSMENT

       

      11:50    SS10-O1.5 – A FRAME LEVEL METRIC FOR JUST NOTICEABLE TEMPORAL PUMPING ARTIFACT IN VIDEOS ENCODED WITH THE HIERARCHICAL PREDICTION STRUCTURE

       

       

      SS1-P1: Industry Special Session I

      Wednesday, 10:30-12:30

      Poster

      Room: Poster K

       

                  « SS1-P1.1 – APPLYING IMAGE ANALYSIS TO ASSESS FOOD AESTHETICS AND UNIQUENESS

       

                  SS1-P1.2 – SOFTWARE DEFINED NETWORKING FOR VIDEO: OVERVIEW AND EXAMPLE

       

                  SS1-P1.3 – 360 DEGREES VIDEO CODING USING REGION ADAPTIVE SMOOTHING

       

                  SS1-P1.4 – BRIDGING COMPUTER VISION AND SOCIAL SCIENCE : A MULTI-CAMERA VISION SYSTEM FOR SOCIAL INTERACTION TRAINING ANALYSIS

       

                  SS1-P1.5 – COMPUTATIONALLY EFFICIENT, REAL-TIME MOTION RECOGNITION BASED ON BIO-INSPIRED VISUAL AND COGNITIVE PROCESSING

       

       

      SS1-P2: Industry Special Session II

      Wednesday, 10:30-12:30

      Poster

      Room: Poster L

       

                  SS1-P2.1 – PIRM: FAST BACKGROUND SUBTRACTION UNDER SUDDEN, LOCAL ILLUMINATION CHANGES VIA PROBABILISTIC ILLUMINATION RANGE MODELLING

       

                  SS1-P2.2 – TEXTURELESS OBJECT DETECTION USING CUMULATIVE ORIENTATION FEATURE

       

                  SS1-P2.3 – RETURN OF GRID SEAMS: A SUPERPIXEL ALGORITHM USING DISCONTINUOUS MULTI-FUNCTIONAL ENERGY SEAM CARVING

       

                  SS1-P2.4 – CHALLENGES IN CLOUD ­BASED INGEST AND ENCODING FOR HIGH QUALITY STREAMING MEDIA

       

                  « SS1-P2.5 – DREM: DECOUPLED REGION ENERGY MODEL FOR IMAGE SEGMENTATION

       

                  SS1-P2.6 – LOW-COMPLEXITY HOG FOR EFFICIENT VIDEO SALIENCY

       

       

      SS1-P3: Industry Special Session III

      Wednesday, 10:30-12:30

      Poster

      Room: Poster M

       

                  SS1-P3.1 – A TWO-STAGE VIDEO OBJECT SEGMENTATION USING MOTION AND COLOR INFORMATION

       

                  SS1-P3.2 – HYPER-PARAMETER OPTIMIZATION OF DEEP CONVOLUTIONAL NETWORKS FOR OBJECT RECOGNITION

       

                  « SS1-P3.3 – THE EMBEDDABILITY OF LANE DETECTION ALGORITHMS ON HETEROGENEOUS ARCHITECTURES

       

       

      TEC-O7: Automated Segmentation of Radiology images

      Wednesday, 10:30-12:30

      Lecture

      Room: 204A

       

      10:30    TEC-O7.1 – CENTER-FREE PFCM FOR MRI BRAIN IMAGE SEGMENTATION

       

      10:50    TEC-O7.2 – HIERARCHICAL SEGMENTATION AND TRACKING OF CORONARY ARTERIES IN 2D X-RAY ANGIOGRAPHY SEQUENCES

       

      11:10    TEC-O7.3 – LIVER SEGMENTATION USING SUPERPIXEL-BASED GRAPH CUTS AND RESTRICTED REGIONS OF SHAPE CONSTRAINS

       

      11:30    TEC-O7.4 – SEGMENTATION OF PATHOLOGICAL LUNGS FROM CT CHEST IMAGES

       

      11:50    TEC-O7.5 – DISC SEGMENTATION AND BMO-MRW MEASUREMENT FROM SD-OCT IMAGE USING GRAPH SEARCH AND TRACING OF THREE BENCH MARK LAYERS OF RETINA

       

      12:10    TEC-O7.6 – MYOCARDIUM SEGMENTATION ON 3D SPECT IMAGES

       

       

      TEC-P14: Linear and Non-Linear Filtering

      Wednesday, 10:30-12:30

      Poster

      Room: Poster G

       

                  TEC-P14.1 – AN ACCELERATED SEPARABLE MEDIAN FILTER WITH SORTING NETWORKS

       

                  TEC-P14.2 – EXTENDING ALPHA-EXPANSION TO A LARGER SET OF REGULARIZATION FUNCTIONS

       

                  TEC-P14.3 – EFFICIENT O(1) EDGE-AWARE FILTER

       

                  TEC-P14.4 – FAST AND ACCURATE BILATERAL FILTERING USING GAUSS-POLYNOMIAL DECOMPOSITION

       

                  TEC-P14.5 – AN ESTIMATION-THEORETIC APPROACH TO VIDEO DENOISEING

       

                  TEC-P14.6 – NON-LOCAL/LOCAL IMAGE FILTERS USING FAST EIGENVALUE FILTERING

       

       

      TEC-P21: Parametric and Energy-based Segmentation

      Wednesday, 10:30-12:30

      Poster

      Room: Poster E

       

                  « TEC-P21.1 – NEW PARAMETRIC 3D SNAKE FOR MEDICAL SEGMENTATION OF STRUCTURES WITH CYLINDRICAL TOPOLOGY

       

                  TEC-P21.2 – LOCALLY REFINABLE PARAMETRIC SNAKES

       

                  TEC-P21.3 – AN AUTOMATIC ENERGY-BASED REGION GROWING METHOD FOR ULTRASOUND IMAGE SEGMENTATION

       

                  TEC-P21.4 – LUNG SEGMENTATION IN CHEST RADIOGRAPHS USING DISTANCE REGULARIZED LEVEL SET AND DEEP-STRUCTURED LEARNING AND INFERENCE

       

       

      TEC-P22: Restoration, Denoising and Demosaicking

      Wednesday, 10:30-12:30

      Poster

      Room: Poster F

       

                  TEC-P22.1 – NONPARAMETRIC EMPIRICAL BAYES ESTIMATION FOR MULTIPLICATIVE MULTISCALE INNOVATION IN PHOTON-LIMITED IMAGING

       

                  TEC-P22.2 – EFFICIENT REGRESSION PRIORS FOR POST-PROCESSING DEMOSAICED IMAGES

       

                  « TEC-P22.3 – AN OPTIMIZED FIRST-ORDER METHOD FOR IMAGE RESTORATION

       

                  TEC-P22.4 – IMAGE COLORIZATION VIA COLOR PROPAGATION AND RANK MINIMIZATION

       

                  « TEC-P22.5 – PMPA: A PATCH-BASED MULTISCALE PRODUCTS ALGORITHM FOR IMAGE DENOISING

       

                  TEC-P22.6 – PARAMETER ESTIMATION FOR $L_P$ REGULARIZED IMAGE DECONVOLUTION

       

       

      TEC-P6: Focus and Lens

      Wednesday, 10:30-12:30

      Poster

      Room: Poster D

       

                  « TEC-P6.1 – TRANSFORMATION OF FOCUS PROFILES FOR DIGITAL AUTOFOCUS

       

                  TEC-P6.2 – DEEPFOCAL: A METHOD FOR DIRECT FOCAL LENGTH ESTIMATION

       

                  TEC-P6.3 – RADIAL LENS DISTORTION CORRECTION USING CASCADED ONE-PARAMETER DIVISION MODEL

       

                  TEC-P6.4 – PIECEWISE DISTORTION CORRECTION FOR FISHEYE LENSES

       

                  TEC-P6.5 – MULTIPLE EXPOSURE INTEGRATION FOR RESTORING ALL IN-FOCUS IMAGES

       

                  TEC-P6.6 – FOCAL LENGTH CHANGE COMPENSATION FOR MONOCULAR SLAM

       

       

      ARS-O12: Machine Learning and Scene Analysis

      Wednesday, 14:00-16:00

      Lecture

      Room: 204B

       

      14:00    ARS-O12.1 – RANDOMIZED SPATIAL POOLING IN DEEP CONVOLUTIONAL NETWORKS FOR SCENE RECOGNITION

       

      14:20    ARS-O12.2 – ANOMALY DETECTION BY USING RANDOM PROJECTION FOREST

       

      14:40    ARS-O12.3 – NONPARAMETRIC SCENE PARSING WITH DEEP CONVOLUTIONAL FEATURES AND DENSE ALIGNMENT

       

      15:00    ARS-O12.4 – SWAP NODE : REGULARIZATION APPROACH FOR DEEP CONVOLUTIONAL NEURAL NETWORK

       

      15:20    ARS-O12.5 – WEATHER CLASSIFICATION WITH DEEP CONVOLUTIONAL NEURAL NETWORKS

       

      15:40    ARS-O12.6 – CONTEXTUAL KERNEL MAP LEARNING FOR SCENE TRANSDUCTION

       

       

      ARS-O9: Image Segmentation IV

      Wednesday, 14:00-16:00

      Lecture

      Room: 203

       

      14:00    ARS-O9.1 – FINE-GRAINED VISUAL CATEGORIZATION WITH FINE-TUNED SEGMENTATION

       

      14:20    ARS-O9.2 – DISCRIMINATIVE REGIONAL COLOR CO-OCCURRENCE DESCRIPTOR

       

      14:40    « ARS-O9.3 – PARTIALLY OCCLUDED OBJECT DETECTION BY FINDING THE VISIBLE FEATURES AND PARTS

       

      15:00    « ARS-O9.4 – REAL-TIME DYNAMIC TEXTURE RECOGNITION USING RANDOM SAMPLING AND DIMENSION REDUCTION

       

      15:20    ARS-O9.5 – IMPROVED FINE STRUCTURE MODELING VIA GUIDED STOCHASTIC CLIQUE FORMATION IN FULLY CONNECTED CONDITIONAL RANDOM FIELDS

       

      15:40    ARS-O9.6 – IMPROVING SPATIAL CODIFICATION IN SEMANTIC SEGMENTATION

       

       

      ARS-P20: Machine Learning for Image Segmentation

      Wednesday, 14:00-16:00

      Poster

      Room: Poster A

       

                  ARS-P20.1 – IMAGE SEGMENTATION WITH THE COMPETITIVE LEARNING BASED MS MODEL

       

                  ARS-P20.2 – OBJECT SEGMENTATION WITH DEEP REGRESSION

       

                  ARS-P20.3 – LEARNING SHAPE PRIORS FOR OBJECT SEGMENTATION VIA NEURAL NETWORKS

       

                  ARS-P20.4 – HOW TO EXPLOIT LARGE IMAGE DATA IN THE FIELDS OF TEXTURE CLASSIFICATION: A CASE STUDY WITH LOCAL BINARY PATTERNS

       

                  ARS-P20.5 – RANKED K-MEANS CLUSTERING FOR TERAHERTZ IMAGE SEGMENTATION

       

                  ARS-P20.6 – CANNET: CONTEXT AWARE NONLOCAL CONVOLUTIONAL NETWORKS FOR SEMANTIC IMAGE SEGMENTATION

       

       

      ARS-P24: Object Recognition I

      Wednesday, 14:00-16:00

      Poster

      Room: Poster C

       

                  ARS-P24.1 – OBJECT CLASSIFICATION FROM RGB-D IMAGES USING DEPTH CONTEXT KERNEL DESCRIPTORS

       

                  ARS-P24.2 – SELECTIVE PARTS FOR FINE-GRAINED RECOGNITION

       

                  ARS-P24.3 – DEPTH UPSAMPLING METHOD VIA MARKOV RANDOM FIELDS WITHOUT EDGE-MISALIGNED ARTIFACTS

       

                  ARS-P24.4 – CONTEXT-AWARE LANE MARKING DETECTION ON URBAN ROADS

       

                  ARS-P24.5 – LAPLACE-BELTRAMI SPECTRA FOR SHAPE COMPARISON OF SURFACES IN 3D USING THE CLOSEST POINT METHOD

       

                  ARS-P24.6 – COMBAT SPORTS ANALYTICS: BOXING PUNCH CLASSIFICATION USING OVERHEAD DEPTH IMAGERY

       

       

      ARS-P25: Object Recognition II

      Wednesday, 14:00-16:00

      Poster

      Room: Poster D

       

                  ARS-P25.1 – LR-CNN FOR FINE-GRAINED CLASSIFICATION WITH VARYING RESOLUTION

       

                  ARS-P25.2 – REAL-TIME SEMANTIC CONTEXT LABELING FOR IMAGE UNDERSTANDING

       

                  ARS-P25.3 – MINE THE FINE: FINE-GRAINED FRAGMENT DISCOVERY

       

                  ARS-P25.4 – EPITOMIC IMAGE FACTORIZATION VIA NEIGHBOR-EMBEDDING

       

                  ARS-P25.5 – GROUND-BASED CLOUD IMAGE CATEGORIZATION USING DEEP CONVOLUTIONAL VISUAL FEATURES

       

                  ARS-P25.6 – ULTRA-FAST PARALLEL REGISTRATION FOR BAYER RAW DATA

       

       

      ARS-P30: Video Analysis

      Wednesday, 14:00-16:00

      Poster

      Room: Poster B

       

                  ARS-P30.1 – EXPLOITING EFFECTS OF PARTS IN FINE-GRAINED CATEGORIZATION OF VEHICLES

       

                  ARS-P30.2 – TRUE MOTION COMPENSATION WITH FEATURE DETECTION FOR FRAME RATE UP-CONVERSION

       

                  ARS-P30.3 – RESIDUE BOUNDARY HISTOGRAMS FOR ACTION RECOGNITION IN THE COMPRESSED DOMAIN

       

                  ARS-P30.4 – HUMAN FALL DETECTION VIA SHAPE ANALYSIS ON RIEMANNIAN MANIFOLDS WITH APPLICATIONS TO ELDERLY CARE

       

                  ARS-P30.5 – TRAFFIC ANALYSIS WITHOUT MOTION FEATURES

       

                  ARS-P30.6 – RERANKING OF PERSON RE-IDENTIFICATION BY MANIFOLD-BASED APPROACH

       

       

      COM-P10: Video Coding III

      Wednesday, 14:00-16:00

      Poster

      Room: Poster O

       

                  COM-P10.1 – EFFICIENT SCALABLE COMPRESSION OF SPARSELY SAMPLED IMAGES

       

                  COM-P10.2 – MOTION VECTOR FIELDS BASED VIDEO CODING

       

                  COM-P10.3 – MOTION ESTIMATION AND COMPENSATION FOR FISHEYE WARPED VIDEO

       

                  « COM-P10.4 – TEMPLATE BASED INTER-LAYER PREDICTION FOR HIGH DYNAMIC RANGE SCALABLE COMPRESSION

       

                  COM-P10.5 – LOW-COMPLEXITY SEPARABLE MULTIPLIER-LESS LOOP FILTER FOR VIDEO CODING

       

                  COM-P10.6 – A COMPUTATIONAL MODEL FOR PREDICTING LOCAL DISTORTION VISIBILITY VIA CONVOLUTIONAL NEURAL NETWORK TRAINED ON NATURAL SCENES

       

       

      COM-P5: Video Coding II

      Wednesday, 14:00-16:00

      Poster

      Room: Poster N

       

                  COM-P5.1 – AN ADAPTIVE SEARCH ORDERING FOR RATE-CONSTRAINED SUCCESSIVE ELIMINATION ALGORITHMS

       

                  COM-P5.2 – LOW-COMPLEXITY RATE CONTROL IN VIDEO CODING BASED ON BI-GEOMETRIC TRANSPARENT COMPOSITE MODELS

       

                  COM-P5.3 – A TWO-STAGE VIDEO CODING FRAMEWORK WITH BOTH SELF-ADAPTIVE REDUNDANT DICTIONARY AND ADAPTIVELY ORTHONORMALIZED DCT BASIS

       

                  COM-P5.4 – INTER-PICTURE PREDICTION BASED ON 3D POINT CLOUD MODEL

       

                  « COM-P5.5 – TRANSFORMS FOR INTRA PREDICTION RESIDUALS BASED ON PREDICTION INACCURACY MODELING

       

                  « COM-P5.6 – ASYMPTOTIC CLOSED-LOOP DESIGN FOR TRANSFORM DOMAIN TEMPORAL PREDICTION

       

       

      ELI-O3: 3D Visual Quality

      Wednesday, 14:00-16:00

      Lecture

      Room: 205A

       

      14:00    ELI-O3.1 – A MAJORIZE-MINIMIZE APPROACH FOR HIGH-QUALITY DEPTH UPSAMPLING

       

      14:20    ELI-O3.2 – POST INSERTED OBJECT CALIBRATION FOR STEREO VIDEO RECTIFICATION

       

      14:40    ELI-O3.3 – TEMPORALLY CONSISTENT HOLE FILLING METHOD BASED ON GLOBAL OPTIMIZATION WITH LABEL PROPAGATION FOR 3D VIDEO

       

      15:00    ELI-O3.4 – UPSAMPLING THE DEPTH MAP WITH ITS OWN PROPERTIES

       

      15:20    ELI-O3.5 – VISUAL COMFORT ASSESSMENT FOR STEREOSCOPIC 3D IMAGES BASED ON SALIENT DISCOMFORT REGIONS

       

       

      ELI-P7: Infrared, Multispectral and Hyperspectral imaging

      Wednesday, 14:00-16:00

      Poster

      Room: Poster K

       

                  ELI-P7.1 – LGHD: A FEATURE DESCRIPTOR FOR MATCHING ACROSS NON-LINEAR INTENSITY VARIATIONS

       

                  ELI-P7.2 – GENERALIZED INPAINTING METHOD FOR HYPERSPECTRAL IMAGE ACQUISITION

       

                  ELI-P7.3 – AN $\ELL_{1/2}$ REGULARIZED LOW-RANK REPRESENTATION FOR HYPERSPECTRAL IMAGERY CLASSIFICATION

       

                  ELI-P7.4 – DUAL-ARM VIS/NIR COMPRESSIVE SPECTRAL IMAGER

       

                  ELI-P7.5 – SINGLE-SHOT FOURIER TRANSFORM MULTISPECTROSCOPY

       

                  « ELI-P7.6 – LOW-RANK TENSOR DECOMPOSITION BASED ANOMALY DETECTION FOR HYPERSPECTRAL IMAGERY

       

       

      ELI-P8: Multiview Image Processing

      Wednesday, 14:00-16:00

      Poster

      Room: Poster M

       

                  ELI-P8.1 – ROBUST VIDEO STITCHING USING ADAPTIVE PIXEL TRANSFER

       

                  ELI-P8.2 – IMAGE BASED RENDERING TECHNIQUE VIA SPARSE REPRESENTATION IN SHEARLET DOMAIN

       

                  ELI-P8.3 – GRAPH MODELLING OF 3D GEOMETRIC INFORMATION FOR COLOR CONSISTENCY OF MULTIVIEW IMAGES

       

                  ELI-P8.4 – PROGRESSIVE FEATURE MATCHING VIA TRIPLET GRAPH

       

                  ELI-P8.5 – THERMOGRAPHY SPATIAL RESOLUTION ENHANCEMENT BY NON-RIGID REGISTRATION WITH VISIBLE IMAGERY

       

                  ELI-P8.6 – INTERACTIVE MULTIVIEW VIDEO SCHEDULING THROUGH BARGAINING

       

       

      ELI-P9: Stereo Image Processing

      Wednesday, 14:00-16:00

      Poster

      Room: Poster L

       

                  « ELI-P9.1 – BI-DCT: DCT-BASED LOCAL BINARY DESCRIPTOR FOR DENSE STEREO MATCHING

       

                  ELI-P9.2 – MULTI-CAMERA INTERFERENCE CANCELLATION OF TIME-OF-FLIGHT (TOF) CAMERAS

       

                  ELI-P9.3 – HIGH-ORDER REGULARIZATION FOR STEREO COLOR EDITING

       

                  ELI-P9.4 – STAIR DETECTION AND TRACKING FROM EGOCENTRIC STEREO VISION

       

                  ELI-P9.5 – SPARSE RECURSIVE FILTERING FOR O(1) STEREO MATCHING

       

       

      IFS-P4: Social and Affective Media

      Wednesday, 14:00-16:00

      Poster

      Room: Poster J

       

                  IFS-P4.1 – PREDICTING DISCRETE PROBABILITY DISTRIBUTION OF IMAGE EMOTIONS

       

                  « IFS-P4.2 – FACIAL EXPRESSION RECOGNITION IN THE WILD USING RICH DEEP FEATURES

       

                  IFS-P4.3 – CREATING DESCRIPTIVE VISUAL WORDS FOR TAG RANKING OF COMPRESSED SOCIAL IMAGE

       

                  IFS-P4.4 – LEARNING DEEP FEATURES FOR IMAGE EMOTION CLASSIFICATION

       

       

      SMR-O5: Omnidirectional imaging and Plenoptics

      Wednesday, 14:00-16:00

      Lecture

      Room: 202

       

      14:00    « SMR-O5.1 – ONLINE VIEW SAMPLING FOR ESTIMATING DEPTH FROM LIGHT FIELDS

       

      14:20    « SMR-O5.2 – PARALLAX RECTIFICATION FOR SPECTRALLY-CODED PLENOPTIC CAMERAS

       

      14:40    SMR-O5.3 – DEPTH AND ANGULAR RESOLUTION IN PLENOPTIC CAMERAS

       

      15:00    « SMR-O5.4 – GENERALIZED SOBEL FILTERS FOR GRADIENT ESTIMATION OF DISTORTED IMAGES

       

      15:20    SMR-O5.5 – A MULTI-RESOLUTION APPROACH TO DEPTH FIELD ESTIMATION IN DENSE IMAGE ARRAYS

       

      15:40    SMR-O5.6 – LENSELET IMAGE COMPRESSION SCHEME BASED ON SUBAPERTURE IMAGES STREAMING

       

       

      SMR-P8: Sparse Representations and Applications

      Wednesday, 14:00-16:00

      Poster

      Room: Poster H

       

                  SMR-P8.1 – EXTERNAL AND INTERNAL LEARNING FOR SINGLE-IMAGE SUPER-RESOLUTION

       

                  SMR-P8.2 – TRANSLATIONAL AND ROTATIONAL JITTER INVARIANT INCREMENTAL PRINCIPAL COMPONENT PURSUIT FOR VIDEO BACKGROUND MODELING

       

                  SMR-P8.3 – A SAMPLE SET PERSPECTIVE ON THE CLASSIFICATION OF HYPERSPECTRAL IMAGE WITH WEIGHTED AFFINE CONSTRAINT

       

                  SMR-P8.4 – IMAGE SUPER-RESOLUTION BASED ON DICTIONARY LEARNING AND ANCHORED NEIGHBORHOOD REGRESSION WITH MUTUAL INCOHERENCE

       

                  SMR-P8.5 – BI-SPARSITY PURSUIT FOR ROBUST SUBSPACE RECOVERY

       

                  SMR-P8.6 – LEARNING THE DISCRIMINATIVE DICTIONARY FOR SPARSE REPRESENTATION BY A GENERAL FISHER REGULARIZED MODEL

       

       

      SNT-S8: Show & Tell VIII

      Wednesday, 14:00-16:00

      Show & Tell

      Room: Show & Tell

       

      14:00    SNT-S8.1 – A NOVEL CONTINUOUS AUTOFOCUS TECHNIQUE

       

      14:20    SNT-S8.2 – A REAL-TIME ACTION RECOGNITION SYSTEM USING DEPTH AND INERTIAL SENSOR FUSION

       

      14:40    SNT-S8.3 – SENSORY GAP: WHY YOU SHOULDN’T OVERLOOK IT

       

      15:00    SNT-S8.4 – APPLICATIONS OF HISTOGRAM OF GRADIENT MAGNITUDES

       

       

      SS5-O1: Privacy and Security in the New Generation Video Coding Systems

      Wednesday, 14:00-16:00

      Lecture

      Room: 205B

       

      14:00    SS5-O1.1 – HEVC VIDEO AUTHENTICATION USING DATA EMBEDDING TECHNIQUE

       

      14:20    SS5-O1.2 – AUTO-SYNCHRONIZED SELECTIVE ENCRYPTION OF VIDEO CONTENTS FOR AN IMPROVED TRANSMISSION ROBUSTNESS OVER ERROR-PRONE CHANNELS

       

      14:40    SS5-O1.3 – ROI ENCRYPTION FOR THE HEVC CODED VIDEO CONTENTS

       

      15:00    SS5-O1.4 – OUT-OF-THE-LOOP INFORMATION HIDING FOR HEVC VIDEO

       

      15:20    SS5-O1.5 – ENCRYPTING ONLY AC COEFFICIENT SIGNS CONSIDERED HARMFUL

       

       

      TEC-O5: Image Superresolution

      Wednesday, 14:00-16:00

      Lecture

      Room: 204A

       

      14:00    TEC-O5.1 – MISSING DATA SUPER-RESOLUTION USING NON-LOCAL AND STATISTICAL PRIORS

       

      14:20    TEC-O5.2 – IMAGE RESOLUTION ENHANCEMENT BASED ON NOVEL VIEW SYNTHESIS

       

      14:40    TEC-O5.3 – REGULARIZED SINGLE-IMAGE SUPER-RESOLUTION BASED ON PROGRESSIVE GRADIENT ESTIMATION

       

      15:00    TEC-O5.4 – SINGLE IMAGE SUPER-RESOLUTION BASED ON SELF-EXAMPLES USING CONTEXT-DEPENDENT SUBPATCHES

       

      15:20    TEC-O5.5 – SPARSITY-BASED DEPTH IMAGE RESTORATION USING SURFACE PRIORS AND RGB-D CORRELATIONS

       

      15:40    TEC-O5.6 – UHD IMAGE RECONSTRUCTION BY ESTIMATING INTERPOLATION ERROR

       

       

      TEC-P11: Image Registration, Fusion and Mosaicking I

      Wednesday, 14:00-16:00

      Poster

      Room: Poster F

       

                  TEC-P11.1 – UNIFIED IMAGE FUSION BASED ON APPLICATION-ADAPTIVE IMPORTANCE MEASURE

       

                  TEC-P11.2 – $L_1$-FUSION: ROBUST LINEAR-TIME IMAGE RECOVERY FROM FEW SEVERELY CORRUPTED COPIES

       

                  « TEC-P11.3 – MULTI-EXPOSURE IMAGE FUSION: A PATCH-WISE APPROACH

       

                  TEC-P11.4 – EDGE MODEL BASED FUSION OF MULTI-FOCUS IMAGES USING MATTING METHOD

       

                  TEC-P11.5 – MULTIFOCUS IMAGE FUSION BASED ON SURFACE AREA ANALYSIS

       

                  TEC-P11.6 – NON-PARAMETRIC ENSEMBLE KALMAN METHODS FOR THE INPAINTING OF NOISY DYNAMIC TEXTURES

       

       

      TEC-P29: Image Registration, Fusion and Mosaicking II

      Wednesday, 14:00-16:00

      Poster

      Room: Poster G

       

                  TEC-P29.1 – A CONTRARIO PATCH MATCHING, WITH APPLICATION TO KEYPOINT MATCHES VALIDATION

       

                  « TEC-P29.2 – LINE MEETS AS-PROJECTIVE-AS-POSSIBLE IMAGE STITCHING WITH MOVING DLT

       

                  « TEC-P29.3 – COERCIVE REGION-LEVEL REGISTRATION FOR MULTI-MODAL IMAGES

       

                  TEC-P29.4 – A NEW GLOBAL CONSISTENCE METHOD FOR MOSAICING OF AERIAL IMAGES

       

                  TEC-P29.5 – FAST AFFINE-INVARIANT IMAGE MATCHING BASED ON BHATTACHARYYA DISTANCE AND ADAPTIVE TREE

       

       

      TEC-P7: Hystocytological Feature Extraction and Classification

      Wednesday, 14:00-16:00

      Poster

      Room: Poster E

       

                  « TEC-P7.1 – ENCODING ROTATION INVARIANT FEATURES IN HEP-2 CELL CLASSIFICATION

       

                  « TEC-P7.2 – AUTOMATIC DETECTION OF NECROSIS, NORMOXIA AND HYPOXIA IN TUMORS FROM MULTIMODAL CYTOLOGICAL IMAGES

       

                  TEC-P7.3 – LEARNING HISTOPATHOLOGICAL REGIONS OF INTEREST BY FUSING BOTTOM-UP AND TOP-DOWN INFORMATION

       

                  TEC-P7.4 – THE MEASUREMENT OF CELL VIABILITY BASED ON TEMPORAL BAG OF WORDS FOR IMAGE SEQUENCES

       

                  TEC-P7.5 – A BAG-OF-FEATURES APPROACH FOR MALIGNANCY DETECTION IN BREAST HISTOPATHOLOGY IMAGES

       

       

      ARS-O11: Learning-based Visual Applications

      Wednesday, 16:30-18:30

      Lecture

      Room: 205A

       

      16:30    ARS-O11.1 – MULTIPLE DICTIONARIES SPARSE CODING FOR PEDESTRIAN DETECTION

       

      16:50    ARS-O11.2 – MULTITHREADING ADABOOST FRAMEWORK FOR OBJECT RECOGNITION

       

      17:10    ARS-O11.3 – NOVEL GENERAL KNN CLASSIFIER AND GENERAL NEAREST MEAN CLASSIFIER FOR VISUAL CLASSIFICATION

       

      17:30    ARS-O11.4 – BEYOND LOCAL PHASE QUANTIZATION: MID-LEVEL BLURRED IMAGE REPRESENTATION USING FISHER VECTOR

       

      17:50    ARS-O11.5 – IMPROVED CLUSTER CENTER ADAPTION FOR IMAGE CLASSIFICATION

       

      18:10    ARS-O11.6 – FEATURE EXTRACTION VIA MULTI-VIEW NON-NEGATIVE MATRIX FACTORIZATION WITH LOCAL GRAPH REGULARIZATION

       

       

      ARS-O18: Superpixel Segmentation

      Wednesday, 16:30-18:30

      Lecture

      Room: 204B

       

      16:30    ARS-O18.1 – WATERSHED SUPERPIXEL

       

      16:50    ARS-O18.2 – FAST LABEL PROPAGATION FOR REAL-TIME SUPERPIXELS FOR VIDEO CONTENT

       

      17:10    ARS-O18.3 – UNSUPERVISED SEGMENTATION USING DYNAMIC SUPERPIXEL RANDOM WALKS

       

      17:30    « ARS-O18.4 – A FAST METHOD FOR INFERRING HIGH-QUALITY SIMPLY-CONNECTED SUPERPIXELS

       

      17:50    ARS-O18.5 – LASP: LOCAL ADAPTIVE SUPER-PIXELS

       

      18:10    ARS-O18.6 – NSLIC: SLIC SUPERPIXELS BASED ON NONSTATIONARITY MEASURE

       

       

      ARS-O22: Pose Estimation and Human Activity Recognition

      Wednesday, 16:30-18:30

      Lecture

      Room: 202

       

      16:30    « ARS-O22.1 – UTD-MAD: A MULTIMODAL DATASET FOR HUMAN ACTION RECOGNITION UTILIZING A DEPTH CAMERA AND A WEARABLE INERTIAL SENSOR

       

      16:50    ARS-O22.2 – ONLINE PERSON ORIENTATION ESTIMATION BASED ON CLASSIFIER UPDATE

       

      17:10    ARS-O22.3 – REAL-TIME UPPER BODY POSE ESTIMATION FROM DEPTH IMAGES

       

      17:30    ARS-O22.4 – HUMAN ACTIVITY RECOGNITION BASED ON POSE POINTS SELECTION

       

      17:50    « ARS-O22.5 – MOTION RETRIEVAL USING CONSISTENCY OF EPIPOLAR GEOMETRY

       

      18:10    ARS-O22.6 – ON THE UTILITY OF CANONICAL CORRELATION ANALYSIS FOR DOMAIN ADAPTATION IN MULTI-VIEW HEADPOSE ESTIMATION

       

       

      ARS-P16: Image Processing Applications I

      Wednesday, 16:30-18:30

      Poster

      Room: Poster F

       

                  ARS-P16.1 – REAL TIME VEHICLE BACK-UP WARNING SYSTEM WITH SINGLE CAMERA

       

                  ARS-P16.2 – BELIEF-PROPAGATION-BASED ROBUST DECODING FOR TWO-DIMENSIONAL BARCODES TO OVERCOME DISTORTION AND OCCLUSION AND ITS EXTENSION TO MULTI-VIEW DECODING

       

                  ARS-P16.3 – APPLICATION OF IMAGE PROCESSING TECHNIQUES FOR FROG CALL CLASSIFICATION

       

                  ARS-P16.4 – CONSTRUCTION OF A BIRD IMAGE DATASET FOR ECOLOGICAL INVESTIGATIONS

       

                  ARS-P16.5 – LOW-COST LICENSE PLATE DETECTION USING A CALIBRATED CAMERA

       

       

      ARS-P2: Active Contours and Levelset Methods

      Wednesday, 16:30-18:30

      Poster

      Room: Poster D

       

                  ARS-P2.1 – EREL: EXTREMAL REGIONS OF EXTREMUM LEVELS

       

                  ARS-P2.2 – ADAPTIVE REGULARIZATION LEVEL SET EVOLUTION FOR MEDICAL IMAGE SEGMENTATION AND BIAS FIELD CORRECTION

       

                  ARS-P2.3 – A SELF-ORGANIZING LATTICE BOLTZMANN ACTIVE CONTOUR (SOLBAC) APPROACH FOR FAST AND ROBUST OBJECT REGION SEGMENTATION

       

                  ARS-P2.4 – SEGMENTING SIMILAR SHAPES VIA WEIGHTED GROUP-SIMILARITY ACTIVE CONTOURS

       

                  « ARS-P2.5 – IMAGE SEGMENTATION USING CLIQUE BASED SHAPE PRIOR AND THE MUMFORD SHAH FUNCTIONAL

       

                  ARS-P2.6 – A LEVEL SET-BASED FRAMEWORK FOR 3D KIDNEY SEGMENTATION FROM DIFFUSIONMR IMAGES

       

       

      ARS-P33: Video Surveillance I

      Wednesday, 16:30-18:30

      Poster

      Room: Poster C

       

                  ARS-P33.1 – HOW MUCH BANDWIDTH DOES SURVEILLANCE SYSTEM REQUIRE?

       

                  ARS-P33.2 – A DISCRIMINATIVE TRACKLETS REPRESENTATION FOR CROWD ANALYSIS

       

                  ARS-P33.3 – ABANDONED OBJECT DETECTION USING OPERATOR-SPACE PURSUIT

       

                  ARS-P33.4 – OBJECT MODELING AND TRAJECTORY ESTIMATIONS FOR TRAFFIC ANALYSIS

       

                  ARS-P33.5 – OBJECT TRACKING VIA DENSE SIFT DESCRIPTORS AND LOW-RANK REPRESENTATION

       

                  ARS-P33.6 – OBJECT TRACKING BASED ON HUBER LOSS FUNCTION

       

       

      ARS-P39: Video Surveillance II

      Wednesday, 16:30-18:30

      Poster

      Room: Poster B

       

                  ARS-P39.1 – ANOMALY DETECTION IN CROWD SCENES VIA ONLINE ADAPTIVE ONE-CLASS SUPPORT VECTOR MACHINES

       

                  ARS-P39.2 – IS PEDESTRIAN DETECTION ROBUST FOR SURVEILLANCE?

       

                  ARS-P39.3 – SEEING AS IT HAPPENS: REAL TIME 3D VIDEO EVENT VISUALIZATION

       

                  ARS-P39.4 – A PARTICLE FILTER BASED SEQUENTIAL TRAJECTORY CLASSIFIER FOR BEHAVIOR ANALYSIS IN VIDEO SURVEILLANCE

       

                  ARS-P39.5 – SYNTHETIC FACE GENERATION UNDER VARIOUS OPERATIONAL CONDITIONS IN VIDEO SURVEILLANCE

       

       

      ARS-P4: Classification III

      Wednesday, 16:30-18:30

      Poster

      Room: Poster A

       

                  ARS-P4.1 – CLUSTERED EXEMPLAR-SVM: DISCOVERING SUB-CATEGORIES FOR VISUAL RECOGNITION

       

                  ARS-P4.2 – FINE-GRAINED BIRD SPECIES RECOGNITION VIA HIERARCHICAL SUBSET LEARNING

       

                  ARS-P4.3 – IMAGE CLASSIFICATION USING RBM TO ENCODE LOCAL DESCRIPTORS WITH GROUP-SPARSE LEARNING

       

                  ARS-P4.4 – CROSS-LAYER FEATURES IN CONVOLUTIONAL NEURAL NETWORKS FOR GENERIC CLASSIFICATION TASKS

       

                  ARS-P4.5 – MODELLING LOCAL DEEP CONVOLUTIONAL NEURAL NETWORK FEATURESTO IMPROVE FINE-GRAINED IMAGE CLASSIFICATION

       

                  « ARS-P4.6 – ASK THE DICTIONARY:SOFT-ASSIGNMENT LOCATION-ORIENTATION POOLING FOR IMAGE CLASSIFICATION

       

       

      ARS-P46: Object Detection and Tracking III

      Wednesday, 16:30-18:30

      Poster

      Room: Poster E

       

                  « ARS-P46.1 – EXTRACTING MAJOR LINES BY RECRUITING ZERO-THRESHOLD CANNY EDGE LINKS ALONG SOBEL HIGHLIGHTS

       

                  « ARS-P46.2 – IMPROVING UNIFORMITY IN DETECTION PERFORMANCE OF CLUSTERED MICROCALCIFICATIONS IN MAMMOGRAMS

       

                  ARS-P46.3 – BONE EXTRACTION IN X-RAY IMAGES BY ANALYSIS OF LINE FLUCTUATIONS

       

                  ARS-P46.4 – EXTERNAL FORCES FOR ACTIVE CONTOURS USING THE UNDECIMATED WAVELET TRANSFORM

       

                  ARS-P46.5 – A PARAMETRIC MODEL FOR MULTI-LANES DETECTION

       

                  ARS-P46.6 – EFFICIENT BACKGROUND SUBTRACTION WITH LOW-RANK AND SPARSE MATRIX DECOMPOSITION

       

       

      ARS-P51: Face Image Analysis II

      Wednesday, 16:30-18:30

      Poster

      Room: Poster J

       

                  ARS-P51.1 – REAL-TIME EYE LOCALIZATION, BLINK DETECTION, AND GAZE ESTIMATION SYSTEM WITHOUT INFRARED ILLUMINATION

       

                  ARS-P51.2 – MULTI-CLASS SEMANTIC SEGMENTATION OF FACES

       

                  ARS-P51.3 – FACE HALLUCINATION BASED ON NONPARAMETRIC BAYESIAN LEARNING

       

                  « ARS-P51.4 – RANDOM CASCADED-REGRESSION COPSE FOR ROBUST FACIAL LANDMARK DETECTION

       

                  ARS-P51.5 – SINGLE FACE IMAGE SUPER-RESOLUTION VIA SOLO DICTIONARY LEARNING

       

                  « ARS-P51.6 – CONFIDENCE MEASURE USING COMPOSITE FEATURES FOR EYE DETECTION IN A FACE RECOGNITION SYSTEM

       

       

      ARS-P53: Image Processing Applications II

      Wednesday, 16:30-18:30

      Poster

      Room: Poster G

       

                  ARS-P53.1 – VIDEO DENOISING BY ONLINE 3D SPARSIFYING TRANSFORM LEARNING

       

                  ARS-P53.2 – A STRUCTURE-BASED REGION DETECTOR FOR RETINAL IMAGE REGISTRATION

       

                  ARS-P53.3 – DIGITAL IMAGE CORRELATION FOR SMALL STRAIN MEASUREMENT IN DEFORMABLE SOLIDS AND GEOMECHANICAL STRUCTURES

       

                  ARS-P53.4 – TEXTURE CLASSIFICATION USING RAO'S DISTANCE : AN EM ALGORITHM ON THE POINCARÉ HALF PLANE

       

                  ARS-P53.5 – 3D VISUAL DISCOMFORT PREDICTOR BASED ON NEURAL ACTIVITY STATISTICS

       

                  « ARS-P53.6 – UTILIZING IMAGE-FEATURES IN BIOMEDICAL DOCUMENT CLASSIFICATION

       

       

      ARS-P8: Face Image Analysis I

      Wednesday, 16:30-18:30

      Poster

      Room: Poster H

       

                  ARS-P8.1 – EVOLUTIONARY FUSION OF LOCAL TEXTURE PATTERNS FOR FACIAL EXPRESSION RECOGNITION

       

                  ARS-P8.2 – AGE ESTIMATION UNDER CHANGES IN IMAGE QUALITY: AN EXPERIMENTAL STUDY

       

                  ARS-P8.3 – FACIAL MAKEUP DETECTION VIA SELECTED GRADIENT ORIENTATION OF ENTROPY INFORMATION

       

                  ARS-P8.4 – FACE ATTRIBUTE CLASSIFICATION USING ATTRIBUTE-AWARE CORRELATION MAP AND GATED CONVOLUTIONAL NEURAL NETWORKS

       

       

      ELI-O7: Object Detection in Very High Resolution Satellite Images

      Wednesday, 16:30-18:30

      Lecture

      Room: 203

       

      16:30    « ELI-O7.1 – LOCAL INTEGRITY CONSTRAINTS FOR STRUCTURE DETECTION AND SEGMENTATION IN HIGH-RESOLUTION EARTH OBSERVATION IMAGES

       

      16:50    « ELI-O7.2 – EVALUATING THE SENSORY GAP FOR EARTH OBSERVATION IMAGES USING HUMAN PERCEPTION ANDAN LDA-BASED COMPUTATIONAL MODEL

       

      17:10    ELI-O7.3 – CLASSIFICATION OF INTERFEROMETRIC SAR IMAGES BASED ON PARAMETRIC MODELING IN THE FRACTIONAL FOURIER TRANSFORM DOMAIN

       

      17:30    ELI-O7.4 – ORIENTATION ROBUST OBJECT DETECTION IN AERIAL IMAGES USING DEEPCONVOLUTIONAL NEURAL NETWORK

       

      17:50    ELI-O7.5 – FAST AIRCRAFT DETECTION IN SATELLITE IMAGES BASED ON CONVOLUTIONAL NEURAL NETWORKS

       

      18:10    ELI-O7.6 – A NON-PARAMETRIC CFAR DETECTOR BASED ON SAR SEA CLUTTER STATISTICAL MODELING

       

       

      SNT-S9: Show & Tell IX

      Wednesday, 16:30-18:30

      Show & Tell

      Room: Show & Tell

       

      16:30    SNT-S9.1 – FACIAL EXPRESSION RECOGNITION IN THE WILD USING DEEP FEATURES AND DOMAIN KNOWLEDGE

       

      16:50    SNT-S9.2 – VISUAL DEMONSTRATION OF INSTABILITY IN CLOSED-LOOP PREDICTOR DESIGN AND SOLUTION VIA ASYMPTOTIC CLOSED-LOOP DESIGN FOR TRANSFORM DOMAIN TEMPORAL PREDICTION

       

      17:10    SNT-S9.3 – LOW-RANK TENSOR DECOMPOSITION BASED ANOMALY DETECTION FOR HYPERSPECTRAL IMAGERY

       

       

      SS4-O1: Very High Resolution Satellite Image Information Extraction

      Wednesday, 16:30-18:30

      Lecture

      Room: 205B

       

      16:30    SS4-O1.1 – INFORMATION EXTRACTION FROM VERY HIGH RESOLUTION SATELITE SAR DATA TIME SERIES USING GRAPH BASED CONNECTED FEATURES

       

      16:50    SS4-O1.2 – CLASSIFICATION OF POLARIMETRIC SAR IMAGERY USING UNSUPERVISED H/ AND EXTENDED H/ SCHEMES TO DETECT ANOMALIES ON EARTHEN LEVEES

       

      17:10    SS4-O1.3 – AUTOMATIC RECTANGULAR BUILDING DETECTION FROM VHR AERIAL IMAGERY USING SHADOW AND IMAGE SEGMENTATION

       

      17:30    SS4-O1.4 – IMAGE CLASSIFICATION: NO FEATURES, NO CLUSTERING

       

      17:50    SS4-O1.5 – LAND USE AND LAND COVER CLASSIFICATION BASE ON IMAGE SALIENCY MAP COOPERATED CODING

       

       

      TEC-O6: Inpainting and Stitching

      Wednesday, 16:30-18:30

      Lecture

      Room: 204A

       

      16:30    TEC-O6.1 – A USER-FRIENDLY INTERACTIVE IMAGE INPAINTING FRAMEWORK USING LAPLACIAN COORDINATES

       

      16:50    TEC-O6.2 – MULTI-VIEW IMAGE INPAINTING WITH SPARSE REPRESENTATIONS

       

      17:10    TEC-O6.3 – FACE SKETCH SYNTHESIS USING NON-LOCAL MEANS AND PATCH-BASED SEAMING

       

      17:30    TEC-O6.4 – GUIDED INPAINTING WITH CLUSTER-BASED AUXILIARY INFORMATION

       

      17:50    TEC-O6.5 – PATTERN-BASED K-LEVEL CUTSET RECONSTRUCTION

       

      18:10    TEC-O6.6 – SUPERPIXEL-BASED DEPTH MAP INPAINTING FOR RGB-D VIEW SYNTHESIS

       

       

      TEC-P16: Medical Feature Extraction and Analysis I

      Wednesday, 16:30-18:30

      Poster

      Room: Poster O

       

                  TEC-P16.1 – AUTOMATIC DETECTION OF COLONOSCOPIC ANOMALIES USING CAPSULE ENDOSCOPY

       

                  TEC-P16.2 – AUTOMATIC CLASSIFICATION OF TISSUES USING T1 AND T2 RELAXATION TIMESFROM PROSTATE MRI: A STEP TOWARDS GENERATION OF PET/MR ATTENUATION MAP

       

                  TEC-P16.3 – NOVEL FEATURES FOR MICROCALCIFICATION DETECTION IN DIGITAL MAMMOGRAM IMAGES BASED ON WAVELET AND STATISTICAL ANALYSIS

       

                  TEC-P16.4 – PROSTATE DETECTION FROM ABDOMINAL ULTRASOUND IMAGES: A PART BASED APPROACH

       

                  « TEC-P16.5 – FEATURE EXTRACTION FROM BILATERAL DISSIMILARITY IN DBT RECONSTRUCTED VOLUME

       

                  TEC-P16.6 – HELICOBACTER PYLORI INFECTION DETECTION FROM MULTIPLE X-RAY IMAGES BASED ON COMBINATION USE OF SUPPORT VECTOR MACHINE AND MULTIPLE KERNEL LEARNING

       

       

      TEC-P17: Medical Feature Extraction and Analysis II

      Wednesday, 16:30-18:30

      Poster

      Room: Poster N

       

                  TEC-P17.1 – AUTOMATIC CLASSIFICATION OF SKIN LESIONS USING GEOMETRICAL MEASUREMENTS OF ADAPTIVE NEIGHBORHOODS AND LOCAL BINARY PATTERNS

       

                  TEC-P17.2 – ESTIMATING TWO-DIMENSIONAL BLOOD FLOW VELOCITIES FROM VIDEOS

       

                  TEC-P17.3 – SIMULTANEOUS EXTRACTION OF TWO ADJACENT BONY STRUCTURES IN X-RAY IMAGES: APPLICATION TO HIP JOINT SEGMENTATION

       

                  TEC-P17.4 – DETECTION OF DIABETIC RETINOPATHY AND AGE-RELATED MACULAR DEGENERATION FROM FUNDUS IMAGES THROUGH LOCAL BINARY PATTERNS AND RANDOM FORESTS

       

       

      TEC-P19: Multiresolution and Wavelets

      Wednesday, 16:30-18:30

      Poster

      Room: Poster L

       

                  TEC-P19.1 – FOUR-CHANNEL LIFTING-HOUSEHOLDER-BASED HADAMARD TRANSFORM

       

                  « TEC-P19.2 – DIVERGENCE-FREE WAVELET FRAMES

       

                  TEC-P19.3 – LOGARITHMIC MULTIRESOLUTION ANALYSIS

       

                  TEC-P19.4 – OPTIMIZED LIFTING SCHEMES BASED ON ENO STENCILS FOR IMAGEAPPROXIMATION

       

                  « TEC-P19.5 – IMPROVED VARIATIONAL DENOISING OF FLOW FIELDS WITH APPLICATION TO PHASE-CONTRAST MRI DATA

       

       

      TEC-P25: Supervised and Dictionary-based Approaches

      Wednesday, 16:30-18:30

      Poster

      Room: Poster K

       

                  « TEC-P25.1 – A NOVEL FRAMEWORK FOR THE SEGMENTATION OF MR INFANT BRAIN IMAGES

       

                  TEC-P25.2 – CLINICAL DEEP BRAIN STIMULATION REGION PREDICTION USING REGRESSIONFORESTS FROM HIGH-FIELD MRI

       

                  TEC-P25.3 – SUPERTEXTON-BASED SEGMENTATION IN EARLY DROSOPHILA OOGENESIS

       

                  « TEC-P25.4 – SPARSITY PRESERVING MULTIPLE CANONICAL CORRELATION ANALYSIS WITH VISUAL EMOTION RECOGNITION TO MULTI-FEATURE FUSION

       

                  « TEC-P25.5 – DEEP STRUCTURED LEARNING FOR MASS SEGMENTATION FROM MAMMOGRAMS

       

                  TEC-P25.6 – AUTOMATIC SEGMENTATION OF PATHOLOGICAL LUNG USING INCREMENTAL NONNEGATIVE MATRIX FACTORIZATION

       

       

      TEC-P28: Filtering

      Wednesday, 16:30-18:30

      Poster

      Room: Poster M

       

                  « TEC-P28.1 – STOCHASTIC BILATERAL FILTER FOR HIGH-DIMENSIONAL IMAGES

       

                  TEC-P28.2 – ATOMIC DECOMPOSITION BASED ANISOTROPIC NON-LOCAL STRUCTURE TENSOR

       

                  TEC-P28.3 – HOW TO MAKE ND IMAGES WELL-COMPOSED WITHOUT INTERPOLATION

       

                  TEC-P28.4 – LOCALLY CONTROLLED REGULARIZED SPATIOTEMPORAL ANISOTROPIC DIFFUSION

       

                  « TEC-P28.5 – EXPOSURE-ROBUST ALIGNMENT OF DIFFERENTLY EXPOSED IMAGES