包邮分布式视频通信

Chapter 1Introduction
1 Motivation
2 Distributed Source Coding （DSC）
2．1 DSC Theorem
2．2 Coset Example for DSC
2．3 SWC Using Error Correction Code
2．4 WZC by Cascading Quantization and SWC
3 Wyner-Ziv Video Coding （WZVC）
3．1 Implementation of WZVC
3．2 Application of WZVC ： Low Complexity Encoding
3．3 Application of WZVC ： Muhiview Video Coding
3．4 Application of WZVC ： Error Resilience
3．5 More Applications of WZVC
4 Error Control for Video Communication
4．1 Error Resilience
4．2 Error Concealment
5 Contributions of This Book
Part AWyner-Ziv Video Coding
Chapter 2Transform-domain Adaptive Correlation Estimation
1 Introduction
2 Problem Definition and Key Observation
2．1 Notation
2．2 Correlation Estimation Problem
2．3 Observations
3 Correlation Noise Modeling
3．1 Linear Relation between Spatial Domain and Transform Domain Residue Variances
3．2 Extension to Stationery Field
3．3 Coefficient-level Correlation Noise Modeling
4 Transform-domain Adaptive Correlation Estimation （TRACE）
4．1 Overall Process of TRACE
4．2 Pre-estimation of ?2 coeff（ k， l） before SWC Decoding
4．3 Near Optimal Estimation of Band-level Variance
4．4 The Re-estimation of ?2 coeff（ k， l） after SWC Decoding
4．5 The Progressive Estimation of ?2 coeff（ k， l）
4．6 Scanning and Decoding Order of DCT Coefficients
4．7 The Estimation of V（n）
5 Near Optimal Band-level Correlation Estimation
5．1 The Optimality of the Estimation
5．2 The Convex Optimization Based Solution
5．3 The Explicit Expression and the Convexity of f（醟）
5．4 Estimation Accuracy
6 Experimental Result
6．1 Comparison of Estimation Accuracy
6．2 Application of TRACE in Low Complexity WZVC
6．3 Application of TRACE in Flexible WZVC
7 Conclusion
Chapter 3Low Complexity Video Encoding by Wyner-Ziv Successive Refinement
1 Introduction
2 Backgrounds and Related Works
2．1 Low Complexity Wyner-Ziv Video Coding
2．2 Wyner-Ziv Successive Refinement （WZSR）
3 Proposed WZSR Video Coding Scheme
3．1 WZSR Video Coding Framework
3．2 Motion Estimation
3．3 Quantization
3．4 SWC Implementation
4 Rate Distortion and Complexity Analysis
4．1 Motion Estimation Accuracy Analysis
4．2 Rate Distortion Functions
4．3 Performance Analysis ： a Lower Bound of WZSR
4．4 Performance Comparison
4．5 B-Frame Analysis
4．6 Computational Complexity
5 Experimental Results
5．1 RD Performance Tests
5．2 Complexity Tests
6 Conclusion
Chapter 4Wyner-Ziv Based Bidirectionally Decodable Video Coding
1 Introduction
2 Analysis and Implementation of Wyner-Ziv Based M-frame
2．1 Source Coding with Two Alternative Predictions
2．2 Implementation of Wyner-Ziv M-frame
3 Proposed Wyner-Ziv Based Bidirectionally Decodable Video Coding
3．1 Pre-calculation of Future Reconstruction
3．2 Motion Estimation and Motion Vector Compression
3．3 DCT Coefficients Compression
3．4 Optimal Lagrangian Multiplier for Motion Estimation
3．5 Slepian-Wolf Coding
3．6 Simplification of SWC Decoding
3．7 MMSE Reconstruction
4 Functionalities of the Proposed WZ-BID Scheme
4．1 On Supporting VCR Functionality
4．2 Stream Switching
4．3 Error Resilience
5 Experimental Results
5．1 Compression Efficiency
5．2 The Support of VCR Functionality
5．3 Application in Error Resilience
5．4 Application in Stream Switching
Conclusion
Part BError Resilience and Concealment for Packet Video Transmission
Chapter 5Lossless Error Resilience Transcoding
1 Introduction
2 Lossless Error Resilient Transcoding （LERT）
2．1 LERT Transcoder
2．2 LERT Decoder
2．3 Video Server with Adaptive Error Robustness
2．4 Experiments
3 Conclusion
Chapter 6Joint Forward Backward Concealment
1 Introduction
2 Proposed Backward Concealment （BC）
2．1 Background and Basic Idea
2．2 Backward Decoding for Referenced Pixels
2．3 MV Based Concealment of Unreferenced Pixels
2．4 Verification and Analysis
3 Joint Forward Backward Concealment （JFBC）
3．1 Basic Model
3．2 Error Analysis for Forward Error Concealment
3．3 Error Analysis for Backward Error Concealment
3．4 Pixel-level Adaptive LMMSE
Experiments
Conclusion
Part CSoft Visual Communication
Chapter 7Distributed Wireless Visual Communication
1 Introduction
2 Related Works
2．1 Distributed Video Coding
2．2 Distributed Video Transmission over Wireless Network
2．3 SoftCast
3 Proposed DCast framework
3．1 Coset Coding
3．2 Estimation of Coset Quantization Step
3．3 Power Allocation
3．4 Packaging and Transmission
3．5 LMMSE at Decoder
4 Power-Distortion Optimization
4．1 Relationship between Variables
4．2 MV Transmission Power Pmv and MV Distortion ?
4．3 MV Distortion ?2 △ and Prediction Noise Variance ?
4．4 Distortion D as a Function of Pcoset and ?
4．5 The Solution
5 Experiments
5．1 PDO Model Verification
5．2 Unicast Performance
5．3 Evaluation of Each Module
5．4 Robustness Test
5．5 Muhicast Performance
5．6 Complexity and Bit Rate
6 Conclusion
Chapter 8Wavelet Based Soft Video Broadcast
1 Introduction
2 Proposed WaveCast
2．1 MCTF Based 3D Wavelet Transform
2．2 Power Distortion Optimization
2．3 Packaging and Modulation
2．4 Transmission of Motion Information
2．5 Receiver
3 Coset Coding and Power-distortion Analysis
3．1 Coset Coding
3．2 Coset Coding Optimization
3．3 Power Distortion Analysis of WaveCast
3．4 Comparison with SoftCast
4 Experiments
4．1 Narrow Band Test
4．2 Broad Band Test
5 Conclusion
Chapter 9Conclusions
References
Noun Index