基本信息

書名:Distributed Visual Communication-分布式視頻通信

定價：49.80元

售價：40.3元

作者:範曉鵬

齣版社：哈爾濱工業大學齣版社

齣版日期：2017-06-01

ISBN：9787560349756

字數：

版次：1

裝幀：平裝

開本：16開

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內容提要

《分布式視頻通信（英文版）》詳細介紹瞭國際國內研究熱點分布式視頻編碼、無綫視頻編碼、無綫軟傳輸等內容，並結閤作者多年研究成果，實現個性與共性的結閤，內容全麵，特色突齣，既可為從事視頻編碼和無綫傳輸領域的科研人員提供手資料，也可為高等院校計算機、電子工程等學科研究生提供學術研究參考。

目錄

Chapter 1Introduction
1 Motivation
2 Distributed Source Coding （DSC）
2．1 DSC Theorem
2．2 Coset Example for DSC
2．3 SWC Using Error CorrectioCode
2．4 WZC by Cascading Quantizatioand SWC
3 Wyner-Ziv Video Coding （WZVC）
3．1 Implementatioof WZVC
3．2 Applicatioof WZVC ： Low Complexity Encoding
3．3 Applicatioof WZVC ： Muhiview Video Coding
3．4 Applicatioof 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-domaiAdaptive CorrelatioEstimation
1 Introduction
2 Problem Definitioand Key Observation
2．1 Notation
2．2 CorrelatioEstimatioProblem
2．3 Observations
3 CorrelatioNoise Modeling
3．1 Linear RelatiobetweeSpatial Domaiand Transform DomaiResidue Variances
3．2 Extensioto Stationery Field
3．3 Coefficient-level CorrelatioNoise Modeling
4 Transform-domaiAdaptive CorrelatioEstimatio（TRACE）
4．1 Overall Process of TRACE
4．2 Pre-estimatioof 2 coeff（ k， l） before SWC Decoding
4．3 Near Optimal Estimatioof Band-level Variance
4．4 The Re-estimatioof 2 coeff（ k， l） after SWC Decoding
4．5 The Progressive Estimatioof 2 coeff（ k， l）
4．6 Scanning and Decoding Order of DCT Coefficients
4．7 The Estimatioof V（n）
5 Near Optimal Band-level CorrelatioEstimation
5．1 The Optimality of the Estimation
5．2 The Convex OptimizatioBased Solution
5．3 The Explicit Expressioand the Convexity of f（醟）
5．4 EstimatioAccuracy
6 Experimental Result
6．1 Comparisoof EstimatioAccuracy
6．2 Applicatioof TRACE iLow Complexity WZVC
6．3 Applicatioof TRACE iFlexible 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 MotioEstimation
3．3 Quantization
3．4 SWC Implementation
4 Rate Distortioand Complexity Analysis
4．1 MotioEstimatioAccuracy Analysis
4．2 Rate DistortioFunctions
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 Implementatioof Wyner-Ziv Based M-frame
2．1 Source Coding with Two Alternative Predictions
2．2 Implementatioof Wyner-Ziv M-frame
3 Proposed Wyner-Ziv Based Bidirectionally Decodable Video Coding
3．1 Pre-calculatioof Future Reconstruction
3．2 MotioEstimatioand MotioVector Compression
3．3 DCT Coefficients Compression
3．4 Optimal LagrangiaMultiplier for MotioEstimation
3．5 Slepian-Wolf Coding
3．6 Simplificatioof SWC Decoding
3．7 MMSE Reconstruction
4 Functionalities of the Proposed WZ-BID Scheme
4．1 OSupporting VCR Functionality
4．2 Stream Switching
4．3 Error Resilience
5 Experimental Results
5．1 CompressioEfficiency
5．2 The Support of VCR Functionality
5．3 ApplicatioiError Resilience
5．4 ApplicatioiStream 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 Verificatioand 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 Transmissioover Wireless Network
2．3 SoftCast
3 Proposed DCast framework
3．1 Coset Coding
3．2 Estimatioof Coset QuantizatioStep
3．3 Power Allocation
3．4 Packaging and Transmission
3．5 LMMSE at Decoder
4 Power-DistortioOptimization
4．1 Relationship betweeVariables
4．2 MV TransmissioPower Pmv and MV Distortio
4．3 MV Distortio2 △ and PredictioNoise Variance
4．4 DistortioD as a Functioof Pcoset and
4．5 The Solution
5 Experiments
5．1 PDO Model Verification
5．2 Unicast Performance
5．3 Evaluatioof 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 DistortioOptimization
2．3 Packaging and Modulation
2．4 Transmissioof MotioInformation
2．5 Receiver
3 Coset Coding and Power-distortioAnalysis
3．1 Coset Coding
3．2 Coset Coding Optimization
3．3 Power DistortioAnalysis of WaveCast
3．4 Comparisowith SoftCast
4 Experiments
4．1 Narrow Band Test
4．2 Broad Band Test
5 Conclusion
Chapter 9Conclusions
References
NouIndex

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