Visual Media Coding and Transmission

This book presents the state–of–the–art in visual media coding and transmission
Visual Media Coding and Transmission Transmission is an output of VISNET II NoE, which is an EC IST–FP6 collaborative research project by twelve esteemed institutions from across Europe in the fields of networked audiovisual systems and home platforms. The authors provide information that will be essential for the future study and development of visual media communications technologies. The book contains details of video coding principles, which lead to advanced video coding developments in the form of Scalable Coding, Distributed Video Coding, Non–Normative Video Coding Tools and Transform Based Multi–View Coding. Having detailed the latest work in Visual Media Coding, networking aspects of Video Communication is detailed. Various Wireless Channel Models are presented to form the basis for both link level quality of service (QoS) and cross network transmission of compressed visual data. Finally, Context–Based Visual Media Content Adaptation is discussed with some examples.
Key Features:Contains the latest advances in this important field covered by VISNET II NoEAddresses the latest multimedia signal processing and coding algorithmsCovers all important advance video coding techniques, scalable and multiple description coding, distributed video coding and non–normative toolsDiscusses visual media networking with various wireless channel modelsQoS methods by way of link adaptation techniques are detailed with examplesPresents a visual media content adaptation platform, which is both context aware and digital rights management enabledContains contributions from highly respected academic and industrial organizations
Visual Media Coding and Transmission will benefit researchers and engineers in the wireless communications and signal processing fields. It will also be of i nterest to graduate and PhD students on media processing, coding and communications courses.

Spis treści:
VISNET II Researchers.
Preface.
Glossary of Abbreviations.
1 Introduction.
2 Video Coding Principles.
2.1 Introduction.
2.2 Redundancy in Video Signals.
2.3 Fundamentals of Video Compression.
2.4 Advanced Video Compression Techniques.
2.5 Video Codec Standards.
2.6 Assessment of Video Quality.
2.7 Conclusions.
References.
3 Scalable Video Coding.
3.1 Introduction.
3.2 Overview of the State of the Art.
3.3 Scalable Video Coding Techniques.
3.4 Error Robustness for Scalable Video and Image Coding.
3.5 Conclusions.
References.
4 Distributed Video Coding.
4.1 Introduction.
4.2 Distributed Source Coding.
4.3 Stopping Criteria for a Feedback Channel–based Transform Domain Wyner–Ziv Video Codec.
4.4 Rate–distortion Analysis of Motion–compensated Interpolation at the Decoder in Distributed Video Coding.
4.5 Nonlinear Quantization Technique for Distributed Video Coding.
4.6 Symmetric Distributed Coding of Stereo Video Sequences.
4.7 Studying Error–resilience Performance for a Feedback Channel–based Transform Domain Wyner–Ziv Video Codec.
4.8 Modeling the DVC Decoder for Error–prone Wireless Channels.
4.9 Error Concealment Using a DVC Approach for Video Streaming Applications.
4.10 Conclusions.
References.
5 Non–normative Video Coding Tools.
5.1 Introduction.
5.2 Overview of the State of the Art.
5.3 Rate Control Architecture for Joint MVS Encoding and Transcoding.
5.4 Bit Allocation and Buffer Control for MVS Encoding Rate Control.
5.5 Optimal Rate Allocation for H.264/AVC Joint MVS Transcoding.
5.6 Spatio–temporal Scene–level Error Concealment for Segmented Video.
5.7 An Integrated Error–resilient Object–based Video Coding Archi tecture.
5.8 A Robust FMO Scheme for H.264/AVC Video Transcoding.
5.9 Conclusions.
References.
6 Transform–based Multi–view Video Coding.
6.1 Introduction.
6.2 MVC Encoder Complexity Reduction using a Multi–grid Pyramidal Approach.
6.3 Inter–view Prediction using Reconstructed Disparity Information.
6.4 Multi–view Coding via Virtual View Generation.
6.5 Low–delay Random View Access in Multi–view Coding Using a Bit Rate–adaptive Downsampling Approach.
References.
7 Introduction to Multimedia Communications.
7.1 Introduction.
7.2 State of the Art: Wireless Multimedia Communications.
7.3 Conclusions.
References.
8 Wireless Channel Models.
8.1 Introduction.
8.2 GPRS/EGPRS Channel Simulator.
8.3 UMTS Channel Simulator.
8.4 WiMAX IEEE 802.16e Modeling.
8.5 Conclusions.
References.
9 Enhancement Schemes for Multimedia Transmission over Wireless Networks.
9.1 Introduction.
9.2 Link–level Quality Adaptation Techniques.
9.3 Link Adaptation for Video Services.
9.4 User–centric Radio Resource Management in UTRAN.
9.5 Conclusions.
References.
10 Quality Optimization for Cross–network Media Communications.
10.1 Introduction.
10.2 Generic Inter–networked QoS–optimization Infrastructure.
10.3 Implementation of a QoS–optimized Inter–networked Emulator.
10.4 Performances of Video Transmission in Inter–networked Systems.
10.5 Conclusions.
References.
11 Context–based Visual Media Content Adaptation.
11.1 Introduction.
11.2 Overview of the State of the Art in Context–aware Content Adaptation.
11.3 Other Standardization Efforts by the IETF and W3C.
11.4 Summary of Standardization Activities.
11.5 Generation of Contextual Information and Profiling.
11.6 The Application Scenario for Context–based Adaptation of Governed Media Contents.
11.7 Conclusions.
References.
Index.

Okładka tylna:
This book presents the state–of–the–art in visual media coding and transmission
Visual Media Coding and Transmission Transmission is an output of VISNET II NoE, which is an EC IST–FP6 collaborative research project by twelve esteemed institutions from across Europe in the fields of networked audiovisual systems and home platforms. The authors provide information that will be essential for the future study and development of visual media communications technologies. The book contains details of video coding principles, which lead to advanced video coding developments in the form of Scalable Coding, Distributed Video Coding, Non–Normative Video Coding Tools and Transform Based Multi–View Coding. Having detailed the latest work in Visual Media Coding, networking aspects of Video Communication is detailed. Various Wireless Channel Models are presented to form the basis for both link level quality of service (QoS) and cross network transmission of compressed visual data. Finally, Context–Based Visual Media Content Adaptation is discussed with some examples.
Key Features:Contains the latest advances in this important field covered by VISNET II NoEAddresses the latest multimedia signal processing and coding algorithmsCovers all important advance video coding techniques, scalable and multiple description coding, distributed video coding and non–normative toolsDiscusses visual media networking with various wireless channel modelsQoS methods by way of link adaptation techniques are detailed with examplesPresents a visual media content adaptation platform, which is both context aware and digital rights management enabledContains contributions from highly respected academic and industrial organizations
Visual Media Coding and Transmission will bene