(Ebook) Image and Video Compression and Multimedia 1st Edition by Sergios Theodoridis, Rama Chellappa, David R Bull, Min Wu ISBN 0124201490 9780124201491

(Ebook) Image and Video Compression and Multimedia 1st Edition by Sergios Theodoridis, Rama Chellappa, David R Bull, Min Wu ISBN 0124201490 9780124201491

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Product details:

ISBN 10: 0124201490 
ISBN 13: 9780124201491
Author: Sergios Theodoridis, Rama Chellappa, David R Bull, Min Wu

This fifth volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in image and video compression and multimedia.

With this reference source you will:

Quickly grasp a new area of research
Understand the underlying principles of a topic and its application
Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved

(Ebook) Image and Video Compression and Multimedia 1st Table of contents:

Section 1: Image/Video Compression
Chapter 1. An Introduction to Video Coding
Abstract
Nomenclature
5.01.1 Introduction
5.01.2 Applications areas for video coding
5.01.3 Requirements of a compression system
5.01.4 The basics of compression
5.01.5 Decorrelating transforms
5.01.6 Symbol encoding
5.01.7 Motion estimation
5.01.8 The block-based motion-compensated video coding architecture
5.01.9 Standardization of video coding systems
5.01.10 Conclusions
Additional resources
Glossary of terms
References
Chapter 2. Motion Estimation—A Video Coding Viewpoint
Abstract
Nomenclature
5.02.1 Introduction
5.02.2 Motion representation and models
5.02.3 Optical flow approaches
5.02.4 Pel-recursive approaches
5.02.5 Transform-domain approaches
5.02.6 Block matching approaches
5.02.7 Parametric motion estimation
5.02.8 Multi-resolution approaches
5.02.9 Motion compensation
5.02.10 Performance assessment criteria for motion estimation algorithms
5.02.11 Summary and concluding remarks
Relevant websites
Glossary
References
Chapter 3. High Efficiency Video Coding (HEVC) for Next Generation Video Applications
Abstract
Nomenclature
5.03.1 Introduction
5.03.2 Requirements and solutions for video compression
5.03.3 Basic principles behind HEVC
5.03.4 Performance evaluation
5.03.5 Conclusions
Relevant Websites
Glossary
References
Chapter 4. Stereoscopic and Multi-View Video Coding
Abstract
Nomenclature
5.04.1 Introduction
5.04.2 Fundamentals of stereoscopic vision
5.04.3 3D display technologies
5.04.4 Applications of stereoscopic and multi-view video
5.04.5 Compression of stereoscopic and multi-view video
5.04.6 Quality evaluation of 3D video
5.04.7 Conclusions
Relevant Websites
References
Chapter 5. Perceptually Optimized Video Compression
Abstract
Nomenclature
5.05.1 Introduction
5.05.2 Perceptual coding tools in video coding architectures
5.05.3 The modeling of the human visual system sensitivity to coding artifacts
5.05.4 Integration of JND models in video coding architectures
5.05.5 Practical perceptual video coding schemes
5.05.6 Conclusions and considerations for future research directions
Glossary
References
Chapter 6. How to Use Texture Analysis and Synthesis Methods for Video Compression
Abstract
Nomenclature
5.06.1 Introduction
5.06.2 Perception-oriented video coding strategies
5.06.3 Block-based video coding techniques
5.06.4 Region-based video coding techniques
5.06.5 Conclusion
Relevant websites of open source software
Glossary
References
Chapter 7. Measuring Video Quality
Abstract
Nomenclature
5.07.1 Introduction
5.07.2 Background
5.07.3 Subjective testing
5.07.4 Subjective datasets
5.07.5 Objective quality metrics
5.07.6 Conclusions
Additional resources
References
Chapter 8. Multiple Description Coding
Abstract
Nomenclature
5.08.1 Introduction and history
5.08.2 Theoretical basis
5.08.3 Speech coding
5.08.4 Image coding
5.08.5 Video coding
5.08.6 Network coding
5.08.7 Stereoscopic 3D
5.08.8 Other applications
5.08.9 Implementations and patents
5.08.10 Conclusion
List of Relevant Websites
References
Chapter 9. Video Error Concealment
Abstract
Nomenclature
5.09.1 Introduction
5.09.2 Spatial error concealment (SEC)
5.09.3 Temporal error concealment (TEC)
5.09.4 Mode selection
5.09.5 Discussion and conclusions
Glossary
References
Section 2: Multimedia Signal Processing
Chapter 10. Introduction to Multimedia Signal Processing
References
Chapter 11. Multimedia Streaming
Abstract
Overview
5.11.1 Introduction
5.11.2 Transport protocols
5.11.3 Streaming on wired networks
5.11.4 Streaming on wireless networks
5.11.5 Error control, detection, concealment
5.11.6 Scalable video coding
5.11.7 Multiple Description Coding
5.11.8 Network coding
Conclusions
Glossary
References
Chapter 12. Multimedia Content-Based Visual Retrieval
Abstract
5.12.1 Introduction
5.12.2 General pipeline overview
5.12.3 Local feature representation
5.12.4 Feature quantization
5.12.5 Index strategy
5.12.6 Retrieval scoring
5.12.7 Post-processing
5.12.8 Conclusion
Acknowledgment
References
Chapter 13. Joint Audio-Visual Processing for Video Copy Detection
Abstract
5.13.1 Introduction
5.13.2 Visual-based video copy detection algorithm
5.13.3 Audio-based video copy detection
5.13.4 Joint audio- and visual-based video copy detection
5.13.5 Copy and near-duplicate detection
5.13.6 Region and partial content search
5.13.7 Conclusion and future trends

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Tags: Sergios Theodoridis, Rama Chellappa, David R Bull, Min Wu, Compression, Multimedia