Advances in Multimedia Information Processing -- PCM 2015

Name: Advances in Multimedia Information Processing -- PCM 2015 | 16th Pacific-Rim Conference on Multimedia, Gwangju, South Korea, September 16-18, 2015, Proceedings, Part I
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16th Pacific-Rim Conference on Multimedia, Gwangju, South Korea, September 16-18, 2015, Proceedings, Part I

Yo-Sung Ho Jitao Sang Yong Man Ro Junmo Kim Fei Wu(Herausgeber*in)

Springer (Verlag)

Erschienen am 11. September 2015

XXIV, 735 Seiten

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978-3-319-24075-6 (ISBN)

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Inhalt

Intro
Preface
Organization
Contents - Part I
Contents - Part II
Image and Audio Processing
Internal Generative Mechanism Based Otsu Multilevel Thresholding Segmentation for Medical Brain Images
Abstract
1 Introduction
2 Otsu Thresholding
3 The Proposed Segmentation Algorithm
3.1 Segmentation Scheme
3.2 Internal Generative Mechanism
3.3 Regrouping the Controversial Pixels
4 Experimental Results and Analysis
4.1 Experimental Settings
4.2 Experimental Results
5 Conclusion
Acknowledgements
References
Efficient Face Image Deblurring via Robust Face Salient Landmark Detection
1 Introduction
2 The Proposed Method
2.1 Motivation
2.2 Robust Face Landmark Detector Training
2.3 Salient Contour Detection
2.4 Blind Image Deblurring
3 Experimental Results
3.1 Experiments on Synthesised Dataset and Real Images
3.2 Computation Cost Comparison
3.3 Adaptation to Complex Face Poses
3.4 Rolling Guidance Face Deblurring
4 Conclusions
References
Non-uniform Deblur Using Gyro Sensor and Long/Short Exposure Image Pair
Abstract
1 Introduction
2 The Proposed Algorithm
2.1 Non-uniform Blur Model
2.2 IMU Sensor and Camera Motion
2.3 The Initial Kernel Estimation Using Gyro Data
2.4 Kernel Refinement
2.5 Deconvolution
3 Experimental Results
4 Conclusion
References
Object Searching with Combination of Template Matching
Abstract
1 Introduction
2 Conventional Methods
3 Proposed Method
3.1 Partition Search Area
3.2 Object Identification
3.3 Adaptive Combination Template Matching
4 Experiment Results
5 Conclusion
Acknowledgement
References
Multimedia Content Analysis
Two-Step Greedy Subspace Clustering
1 Introduction
1.1 Related Work on Subspace Clustering
1.2 Paper Contributions
2 Two-Step Greedy Subspace Clustering
2.1 First Step: Initial Subspace Construction
2.2 Second Step: Greedy Subspace Clustering
3 Experiments
3.1 Motion Segmentation
3.2 Face Clustering
4 Conclusion
References
Iterative Collection Annotation for Sketch Recognition
1 Introduction
2 Overview of Proposed Method
3 Sketch Representation and Similarity Measuring Model
4 Semi-Supervised Clustering
5 Supervision Information Establishment
6 Experiments and Results
7 Conclusion
References
Supervised Dictionary Learning Based on Relationship Between Edges and Levels
1 Introduction
2 Our Approach
2.1 Classical Dictionary Learning
2.2 Our Supervised Dictionary Learning
2.3 Optimization Algorithm
3 Experimental
3.1 Data Set
3.2 Comparison Methods and Evaluation Criteria
3.3 Experimental Results and Analysis
4 Conclusions
References
Adaptive Margin Nearest Neighbor for Person Re-Identification
1 Introduction
2 Large Margin Nearest Neighbor
3 Adaptive Margin Nearest Neighbor
4 Experiment
4.1 Experiment Setting
4.2 Parameter Selection
4.3 Evaluation on VIPeR and CUHK
5 Conclusion
References
Compressed-Domain Based Camera Motion Estimation for Realtime Action Recognition
1 Introduction
2 Proposed Method
2.1 Camera Model
2.2 Estimation of T
2.3 Estimation of a
2.4 Camera Motion Compensation
2.5 Feature Descriptor Extraction
3 Experimental Results
3.1 GME Evaluation
3.2 Feature Descriptor Evaluation
4 Conclusion
References
Image and Audio Processing
On the Security of Image Manipulation Forensics
Abstract
1 Introduction
2 Understanding and Evaluation of Forensics Security
2.1 Image Manipulation Forensics Model
2.2 Security Evaluation and Attacks
3 A Case Study with Resampling Forging Attack
4 Experimental Results
5 Conclusion
Acknowledgements
References
A Sparse Representation-Based Label Pruning for Image Inpainting Using Global Optimization
Abstract
1 Introduction
2 Proposed Label Pruning
2.1 Dictionary Construction for Two Target Region Cases
2.2 Active Label Selection by Label Pruning
3 Experimental Results
4 Conclusion
References
Interactive RGB-D Image Segmentation Using Hierarchical Graph Cut and Geodesic Distance
1 Introduction
2 Related Work
3 Interactive RGB-D Image Segmentation
3.1 Preliminary of Hierarchical Graph Cut
3.2 Scale Space Construction
3.3 Integration of Color Cue and Depth Cue
3.4 Upscaling Boundary Refinement
4 Experiments
4.1 Datasets and Experimental Settings
4.2 Segmentation Accuracy Evaluation
4.3 Running Time Evaluation
5 Conclusions
References
Face Alignment with Two-Layer Shape Regression
Abstract
1 Introduction
2 Overview
3 Main Work
3.1 Key Feature Points of a Component
3.2 Two-Layer Geometric Constraint
3.3 Sub-shape Selection
4 Experimental Results
4.1 Comparison with Previous Works
5 Conclusion and Future Work
Acknowledgments
References
3D Panning Based Sound Field Enhancement Method for Ambisonics
1 Introduction
2 Ambisonics Method
3 3D Panning Method with Sound Pressure Constraint at Two Ears
4 New Signal Distribution Method
4.1 Extension of Loudspeakers Structure
4.2 Calculation of the Input Signal
4.3 Signal Redistribution
4.4 Final Signals
5 Experiments
5.1 Objective Tests
5.2 Subjective Tests
6 Conclusion
References
Multimedia Applications and Services
Multi-target Tracking via Max-Entropy Target Selection and Heterogeneous Camera Fusion
1 Introduction
2 Our Method
2.1 Online Multi-target Tracking
2.2 Active Camera Scheduling
2.3 Static and Active Camera Tracklet Association
2.4 Final Trajectory Generation
3 Experiments
3.1 Experiment Setting
3.2 Results
4 Conclusion
References
Adaptive Multiple Appearances Model Framework for Long-Term Robust Tracking
1 Introduction
2 Related Works
3 The Framework of Adaptive Multiple Appearances Model Tracking
3.1 Dirichlet Process Mixture Model
3.2 Model Inference
3.3 AMAM Tracking
4 Experiments
4.1 The AMAM Modeling
4.2 Tracking System
5 Conclusion
References
On-line Sample Generation for In-air Written Chinese Character Recognition Based on Leap Motion Cont ...
Abstract
1 Introduction
2 Writing Trajectory Capturing
3 Proposed Method
3.1 Off-line Sample Generation
3.2 On-line Sample Generation
4 Experimental Results
5 Conclusion
References
Progressive Image Segmentation Using Online Learning
1 Introduction
2 Overview of Progressive Segmentation Method
3 Multi-level Image Representation
4 Online Segmentation
5 Experimental Result
6 Conclusion
References
A Study of Interactive Digital Multimedia Applications
Abstract
1 Background
2 Unlimited Channel for Communication
3 Conclusion
Acknowledgments
References
Video Coding and Processing
Particle Filter with Ball Size Adaptive Tracking Window and Ball Feature Likelihood Model for Ball's 3D Position Tracking in Volleyball Analysis
Abstract
1 Introduction
2 Proposal
2.1 Ball Size Adaptive Tracking Window
2.2 Volleyball Feature Likelihood Model
2.3 Anti-occlusion Likelihood Measurement Method
3 Experiment
3.1 Tracking Example and Evaluation Method
3.2 Result and Comparison Analysis
4 Conclusion
Acknowledgment
References
Block-Based Global and Multiple-Reference Scheme for Surveillance Video Coding
Abstract
1 Introduction
2 Analysis
3 The Proposed Scheme
3.1 Block-Based Reference Scheme
3.2 Multiple-Reference Scheme
3.3 Global Reference Scheme
3.4 Costs
4 Experimental Results
5 Conclusion
Acknowledgements
References
Global Object Representation of Scene Surveillance Video Based on Model and Feature Parameters
Abstract
1 Introduction
2 Global Coding Scheme of Scene Surveillance Video
2.1 The Generation Mechanism and Features of Global Redundancy
2.2 Scene Surveillance Video Global Coding Scheme
3 Global Object Representation Based on Model and Feature Parameters
3.1 Model and Shape Representation
3.2 Location and Pose Representation
3.3 Texture Parameters Representation
3.4 Illumination Parameters Representation
4 Experiments and Results
4.1 Experiment 1
4.2 Experiment 2
5 Conclusions
References
A Sparse Error Compensation Based Incremental Principal Component Analysis Method for Foreground Detection
1 Introduction
2 Foreground Detection via Sparse Error Compensation Based Incremental PCA
2.1 The Proposed Subspace Based Foreground Detection Model
2.2 Two-Step Optimization Algorithm
3 Experiments
4 Conclusion
References
Multimedia Representation Learning
Convolutional Neural Networks Features: Principal Pyramidal Convolution
Abstract
1 Introduction
2 Principal Pyramidal Convolution
3 Experiment
3.1 Datasets
3.2 Comparisons on Different Networks
3.3 Comparisons on Different Dimensions
4 Conclusion
References
Gaze Shifting Kernel: Engineering Perceptually- Aware Features for Scene Categorization
1 Introduction
2 Related Work
3 The Proposed Gaze Shifting Kernel
3.1 Low-Level and High-Level Descriptions of Graphlets
3.2 Sparsity-Constrained Graphlets Ranking
3.3 Gaze Shifting Kernel and SVM Training
4 Experimental Results and Analysis
4.1 Comparison with the State-of-the-Art
4.2 Parameters Analysis
4.3 Visualization Results
5 Conclusion
References
Two-Phase Representation Based Classification
1 Introduction
2 The Proposed TPLRMC
2.1 The Motivation of the TPLRMC
2.2 The First Phase of the TPLRMC
2.3 The Second Phase of the TPLRMC
2.4 Analysis of the TPLRMC
3 Experiments
3.1 Databases
3.2 Experimental Results
4 Conclusions
References
Deep Feature Representation via Multiple Stack Auto-Encoders
1 Introduction
2 Our Method
2.1 The Basic Auto-Encoder
2.2 Building the Multiple Multi-level Auto-Encoders
2.3 The Layer-Wise Training and Fine Tuning
2.4 The Weight Assigned for Each Feature
2.5 Classification
3 Experiments
3.1 The MNIST
3.2 The CIFAR 10
4 Conclusion
References
Beyond HOG: Learning Local Parts for Object Detection
1 Introduction
2 Related Work
3 The Proposed Method
4 Experiment
4.1 Datasets and Details
4.2 Result and Discussion
5 Conclusion
References
Regular Poster Session
Tuning Sparsity for Face Hallucination Representation
Abstract
1 Introduction
2 Locally Weighted &hx2113
1 Regularization
3 Extension to &hx2113
1,2 for Regularizing Noisy Images
4 Experimental Results
4.1 Quantitative Evaluation
4.2 Comparisons of Subjective Results
5 Conclusions
Acknowledgments
References
Visual Tracking by Assembling Multiple Correlation Filters
Abstract
1 Introduction
2 Kernalized Correlation Filter
2.1 Linear Regression
2.2 Kernel Regression
3 Correlation Filter Fusion
3.1 Online Correlation Filter Update
3.2 Budgeting on Correlation Filters
4 Experiments
5 Conclusions
References
A Unified Tone Mapping Operation for HDR Images Including Both Floating-Point and Integer Data
1 Introduction
2 Preliminaries
2.1 Floating-Point HDR Image Formats
2.2 Global Tone Mapping Operation
3 Proposed Method
3.1 Unified TMO
3.2 Intermediate Format
3.3 Integer TMO for the Intermediate Format
3.4 Fixed-Point Arithmetic
4 Experimental and Evaluation Results
4.1 Comparison of Tone-Mapped LDR Images
4.2 Comparison of the Memory Usage
4.3 Comparison of the Processing Time
5 Conclusion
References
Implementation of Human Action Recognition System Using Multiple Kinect Sensors
1 Introduction
2 Proposed Human Action Recognition System
2.1 Multi-view Skeleton Integration
2.2 Snapshot Feature Extraction
2.3 Temporal Feature Extraction
2.4 Classification
3 Experiment and Results
4 Conclusion
References
Simplification of 3D Multichannel Sound System Based on Multizone Soundfield Reproduction
Abstract
1 Introduction
1.1 Related Work
2 Problem Formulation
2.1 Multizone Soundfield Model
2.2 Formulation of Simplification from L- to (L-1)-Channel
2.3 Loudspeaker Weight Coefficients
3 Simulation and Error Analysis
3.1 Simplification Results
3.2 Simulation Results and Comparison Analysis
3.3 Subjective Results and Comparison Analysis
4 Conclusion and Future Work
References
Multi-channel Object-Based Spatial Parameter Compression Approach for 3D Audio
Abstract
1 Introduction
2 Background
2.1 Directional Audio Coding (DirAC)
2.2 3D Audio Spatial Localization Quantization Method
2.3 The Existing Compression Approaches of Spatial Parameters
3 Proposed Spatial Parameter Compression Approach
3.1 Proposed Spatial Parameter Compression Scheme
3.2 Multi-channel Object-Based Spatial Parameter Compression Approach
4 Performance Evaluation
4.1 Objective Quality Evaluation
4.2 Subjective Quality Evaluation
5 Conclusions
Acknowledgement
References
A FPGA Based High-Speed Binocular Active Vision System for Tracking Circle-Shaped Target
Abstract
1 Introduction
2 Active Vision System
3 Target Tracking
3.1 Prior Knowledge
3.2 Gradients in Fixed Directions
3.3 Circle Fitting
3.4 Improvement
4 FPGA Implementation
5 3-D Localization and Pan-Tilt Control
6 Experiment
6.1 Hardware Environment
6.2 Target Tracking Experiment
7 Conclusions
Acknowledgements
References
The Extraction of Powerful and Attractive Video Contents Based on One Class SVM
Abstract
1 Introduction
2 Video Summarization of Powerful Contents Based on OCSVM
2.1 Extraction of Key Frames and Features
2.2 Powerful Frames Selection with One Class SVM
3 Experiments and Discussion
4 Conclusion
References
Blur Detection Using Multi-method Fusion
1 Introduction
2 Motivation
3 The Methodology
3.1 Multi-method Fusion via CRF
3.2 Locality-Aware Multi-method Fusion
4 Experiments
4.1 Experimental Settings
4.2 Results and Discussion
5 Conclusion
References
Motion Vector and Players' Features Based Particle Filter for Volleyball Players Tracking in 3D Space
Abstract
1 Introduction
2 Proposal
2.1 Motion Vector Prediction Model
2.2 Players' Features Based Likelihood Model
3 Experiment and Result
4 Conclusion
Acknowledgement
References
A Novel Edit Propagation Algorithm via L0 Gradient Minimization
1 Introduction
2 Related Works
3 The L0 Propagation Method
3.1 Algorithm Framework
3.2 Affinity Matrix Approximation
3.3 Constrain Parameters
4 Experiments
4.1 Implemention
4.2 Recoloring
4.3 Tonal Values Adjustments
5 Discussions and Conclusions
References
Improved Salient Object Detection Based on Background Priors
1 Introduction
2 Improved Saliency Detection Based on Background Priors
2.1 Pre-processing
2.2 Initial Saliency Map Calculation
2.3 Saliency Map Refinement
3 Experiments
3.1 Performance Evalation on ASD and MSRA Datasets
3.2 Effectiveness of Saliency Map Refinement
4 Conclusion
References
Position-Patch Based Face Hallucination via High-Resolution Reconstructed-Weights Representation
1 Introduction
2 High-Resolution Reconstruction Weights
2.1 High-Resolution Reconstruction Weights
3 High-Resolution Reconstructed-Weights Representation
3.1 Estimate of the HR Reconstruction Weights
3.2 Face Hallucination via HRR
4 Experimental Results
4.1 Experiment Settings
4.2 Results Comparison
4.3 Influence of Parameters
5 Conclusion
References
Real-Time Rendering of Layered Materials with Linearly Filterable Reflectance Model
1 Introduction
2 Related Work
3 Proposed System
3.1 Overview
3.2 Surface Reflection
3.3 Subsurface Reflection
4 Results
5 Conclusions
References
Hybrid Lossless-Lossy Compression for Real-Time Depth-Sensor Streams in 3D Telepresence Applications
1 Introduction
2 Related Work
3 Compression Approach
3.1 System Overview
3.2 Analysis of Depth-Bit Assignment
3.3 Optimal X264 Encoding Parameters for Depth Image Streams
4 Results and Discussion
4.1 Evaluation of Depth-Bit Assignment-Methods
4.2 Evaluation of x264 Encoding Parameter Settings
4.3 Depth Compression for Real-Time 3D Reconstruction
5 Conclusion
References
Marginal Fisher Regression Classification for Face Recognition
Abstract
1 Introduction
2 Linear Regression Classification
3 Marginal Fisher Regression Classification
4 Experimental Results
4.1 Experiment on FERET Dataset
4.2 Experiment on PIE Dataset
4.3 Experiment on AR Dataset
5 Conclusion and Future Work
Acknowledgements
References
Temporally Adaptive Quantization Algorithm in Hybrid Video Encoder
Abstract
1 Introduction
2 The Temporally Adaptive Quantization Algorithm
3 The Proposed CDA Based delta - rho Model
3.1 The Proposed delta - rho Model
3.2 The Improved Quantization Control Algorithm
4 Simulation Results and Analysis
5 Conclusions
Acknowledgment
References
Semi-automatic Labeling with Active Learning for Multi-label Image Classification
Abstract
1 Introduction
2 Label Correlation Based Sampling Strategy
3 Semi-automatic Labeling with Active Learning
3.1 Automatic Labeling Strategy
3.2 Complete Algorithm
4 Experiments
4.1 On Image Datasets
4.2 On Non-image Datasets
5 Conclusions
Acknowledgement
References
A New Multi-modal Technique for Bib Number/Text Detection in Natural Images
Abstract
1 Introduction
2 Proposed Technique
2.1 Text Candidate Region Detection
2.2 Multi-modal Method for Text Detection/Recognition
3 Experimental Results
3.1 Experiments on Text Candidate Region Detection
3.2 Validating Multi-modality Through Text Detection
3.3 Validating Multi-modality Through Recognition
4 Conclusion and Future Work
Acknowledgment
References
A New Multi-spectral Fusion Method for Degraded Video Text Frame Enhancement
Abstract
1 Introduction
2 Proposed Methodology
2.1 Multi-spectral Images for Reducing Degradation Effect
2.2 Multi-spectral Fusion-1 for Text Frame Enhancement
2.3 Multi-spectral Fusion-2 for Text Frame Enhancement
3 Experimental Results
3.1 Experiments on Measuring Quality of the Enhanced Frame
3.2 Validating Enhancement Through Text Detection
3.3 Validating Enhancement Through Recognition
4 Conclusion
Acknowledgment
References
A Robust Video Text Extraction and Recognition Approach Using OCR Feedback Information
Abstract
1 Introduction
2 Related Work
3 Video Text Segmentation
4 Text Extraction
5 Best Extraction Schemes Choosing
6 Experimental Results
6.1 Performance of Text Segmentation
6.2 Performance of Text Extraction
6.3 Recognition Performance with Best Scheme Choosing
7 Conclusions
References
Color and Active Infrared Vision: Estimate Infrared Vision of Printed Color Using Bayesian Classifier and K-Nearest Neighbor Regression
1 Introduction
2 Related Works
3 Proposed Methods
3.1 Prediction by Bayesian Classifier
3.2 Regression by K-Nearest Neighbors
4 Experimental Results
4.1 Prediction by Bayesian Classifier
4.2 Regression by K-Nearest Neighbors
5 Conclusion
References
Low Bitrates Audio Bandwidth Extension Using a Deep Auto-Encoder
Abstract
1 Introduction
2 Proposed Methodology
2.1 Motivation
2.2 Proposed BWE Method
3 Prediction of Fine Structure Using Deep Auto-Encoder
3.1 Auto-Encoders
3.2 Prediction of Fine Structure
4 Experiments and Evaluation
4.1 Training Auto-Encoders
4.2 The Results of Implement
4.3 Performance Evaluation
5 Conclusions
Acknowledgments
References
Part-Aware Segmentation for Fine-Grained Categorization
1 Introduction
2 Hybrid Part Localization
3 Part-Aware Segmentation
3.1 Definitions
3.2 Optimization
4 Experiments
4.1 Dataset
4.2 Part Localization Results
4.3 Segmentation Results
4.4 Recognition Results
5 Conclusion
References
Improved Compressed Sensing Based 3D Soft Tissue Surface Reconstruction
Abstract
1 Introduction
2 Surface Reconstruction
2.1 RBF Interpolation
2.2 CS Reconstruction Algorithm
3 Experiment Results
3.1 Data Sets
3.2 Comparison of Different Measurement Matrix
3.3 Comparison of LI and RBFI
3.4 Comparison with Other Methods
4 Conclusions
Acknowledgment
References
Constructing Learning Maps for Lecture Videos by Exploring Wikipedia Knowledge
1 Introduction
2 Construction of Video Map by Exploring Domain Knowledge from Wikipedia
2.1 Extraction of Concept Words
2.2 Representing Video Content with Revised TF-IDF
2.3 Construction of Video Map by Maximum Spanning Tree
3 Construction of Concept Map by Integrating Wikipedia Knowledge and Lecture Videos
3.1 Constructing Undirected Concept Map with Wikipedia Articles
3.2 Constructing Directed Concept Map by Discovering the Prerequisite Relationships Between Concepts
4 Experiments
4.1 Evaluation of Video Maps
4.2 Evaluation of Concept Maps
5 Conclusions
References
Object Tracking via Combining Discriminative Global and Generative Local Models
1 Introduction
2 Proposed Algorithm
2.1 Discriminative Global Model
2.2 Generative Local Model
2.3 Template Update
3 Experiments
3.1 Implementation Details
3.2 Performance Evaluation
4 Conclusion
References
Tracking Deformable Target via Multi-cues Active Contours
1 Introduction
2 Proposed Method
2.1 Contour Based Meanshift Target Locating
2.2 Appearance Model Combing Global and Local Layers
2.3 Dynamic Shape Model
2.4 Multi-cues Active Contours and Curve Evolution
3 Experimental Results
3.1 Experimental Setup
3.2 Qualitative and Quantitative Analysis
4 Conclusion
References
Person Re-identification via Attribute Confidence and Saliency
1 Introduction
2 The Proposed Approach
2.1 Classifiers Training
2.2 Attribute Confidence and Saliency Calculation
2.3 Attribute Confidence and Saliency Matching Method
3 Experiments and Results
3.1 Dataset and Evaluation Protocol
3.2 Results and Discussions
4 Conclusions
References
Light Field Editing Based on Reparameterization
1 Introduction
2 Related Work
3 Light Field Editing Framework
3.1 Light Field Reparameterization
3.2 Downsampling-Upsampling Propagation Framework
4 Results
5 Conclusion
References
Interactive Animating Virtual Characters with the Human Body
Abstract
1 Introduction
2 Related Work
3 System Pipeline
4 Methods
4.1 Embedded Deformation [4]
4.2 Construct Deformation Graph
4.3 Optimization
5 Experiment
5.1 Experimental Setup
5.2 Animating Disproportionate Avatar
5.3 Animating Non-humanoid Avatar
6 Conclusion
References
Visual Understanding and Recognition on Big Data
Fast Graph Similarity Search via Locality Sensitive Hashing
1 Introduction
2 The Proposed Method
2.1 Vectorial Representation
2.2 Fast Similarity Search
2.3 Retrieval Framework
2.4 Complexity
3 Experimental Evaluation
3.1 Experimental Setting
3.2 Experimental Results
4 Conclusions
References
Text Localization with Hierarchical Multiple Feature Learning
Abstract
1 Introduction
2 Character Localization
2.1 Structure Features
2.2 HOG Feature
2.3 CNN-Based Features
3 Text Line Formation
4 String Splitting
5 Experimental Results
6 Conclusions
Acknowledgments
References
Recognizing Human Actions by Sharing Knowledge in Implicit Action Groups
1 Introduction
2 The Proposed Method
2.1 Fisher Vector
2.2 Exploring the Implicit Group Structure
2.3 Model Learning
3 Experiment
3.1 Experimental Setup
3.2 Experiments on HMDB51 Dataset
4 Conclusion
References
Human Parsing via Shape Boltzmann Machine Networks
1 Introduction
2 Model Design
2.1 Model Structure for Human Parsing
2.2 Multi Channel Segmentation by Shape Boltzmann Machine Network
2.3 Similarity Measurement of the Curve and Curve Correction
2.4 Overlap Regions and Missing Regions
3 Experiments
3.1 Dataset and Implements
3.2 Results and Performances
4 Conclusion
References
Depth-Based Stereoscopic Projection Approach for 3D Saliency Detection
Abstract
1 Introduction
2 Depth-Based Stereoscopic Projection Approach
2.1 Three-Dimensional Reconstruction and Stereographic Projection
2.2 Processing Based on Characteristics of Projected Images
2.3 Generating Depth Saliency Map and 3D Saliency Map
3 The Experimental Results and Analysis
4 Conclusion
References
Coding and Reconstruction of Multimedia Data with Spatial-Temporal Information
Revisiting Single Image Super-Resolution Under Internet Environment: Blur Kernels and Reconstruction Algorithms
1 Introduction
2 Evaluated SISR Methods
2.1 A Fast and Effective SISR Method Based on Mixture of Experts
3 Experimental Settings
3.1 Blur Kernels and Scaling Factors
3.2 Datasets and Features
4 Evaluation Results
4.1 SISR Methods w.r.t. Mismatched Blur Kernels
4.2 SISR Methods w.r.t. Mismatched Blur Kernels
5 Conclusions
References
Prediction Model of Multi-channel Audio Quality Based on Multiple Linear Regression
Abstract
1 Introduction
2 Objective Measurement of Spatial Audio Quality
2.1 Motivation of the Prediction Model
2.2 Extracting the Objective Parameters
2.3 Design of Subjective Listening Test
3 The Specific Structure of the Model
3.1 Data Pre-processing
3.2 Principle Components Extraction
3.3 Quality Measurement with MLR
4 Performance Analysis
4.1 Training and Testing Data Set
4.2 Algorithm Evaluation
5 Conclusions
References
Physical Properties of Sound Field Based Estimation of Phantom Source in 3D
1 Introduction
2 Proposed Physical Properties Based Method
2.1 Verification of Panning Law Based on Physical Properties of Sound Field
2.2 Estimation of Phantom Source for Symmetric Arrangement Case
2.3 Estimation of Phantom Source for Asymmetric Arrangement Case
3 Experiment and Analysis
3.1 Objective Experiments
3.2 Subjective Experiment
4 Conclusion
References
Non-overlapped Multi-source Surveillance Video Coding Using Two-Layer Knowledge Dictionary
Abstract
1 Introduction
2 Global Object Redundancy
2.1 Analysis of Global Object Redundancy
2.2 Two-Layer Knowledge Dictionary for Eliminating Global Object Redundancy
3 Proposed Method
3.1 Two-Layer Dictionary Learning
3.2 Dictionary-Based Coding Scheme for Moving Vehicles
3.3 Overview of the Coding Framework
4 Experimental Results
5 Conclusion
References
Global Motion Information Based Depth Map Sequence Coding
1 Introduction
2 Proposed Method
2.1 Depth Map Skipping
2.2 Depth Map Projection
3 Experimental Method and Results
3.1 Data Acquisition and Prototypes
3.2 Experiments and Results
4 Conclusions
References
Author Index

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