Program
The final program is available in 4 formats:
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)
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Sunday, Sept. 27
+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
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
Sunday, 13:30-17:00
Tutorial
Room: 206A
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
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
Sunday, 19:00-22:00
Social Event
Room: La Citadelle
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Monday, Sept. 28
+Monday, 09:00-10:00
Plenary
Room: 200AB
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Monday, 12:30-14:00
Workshop
Room: 206A
Monday, 12:30-14:00
Lunch
Room: 206B
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!
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Monday, 19:00-20:00
Social Event
Room: Foyer 2
Monday, 20:00-23:00
Social Event
Room: 200AB
-
Tuesday, Sept. 29
+Tuesday, 09:00-10:00
Plenary
Room: 200AB
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Tuesday, 10:30-12:30
Workshop
Room: 206A
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
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
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
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
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
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
Tuesday, 12:30-14:00
Lunch
Room: 206B
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
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
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
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
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
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
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
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
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)
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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Wednesday, Sept. 30
+PLE-N3: Plenary ‒ Challenges and Opportunities in Biological Imaging
Wednesday, 09:00-10:00
Plenary
Room: 200AB
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
