Advanced Video Coding Systems

  • Wen Gao
  • Siwei Ma

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Wen Gao, Siwei Ma
    Pages 1-16
  3. Wen Gao, Siwei Ma
    Pages 17-34
  4. Wen Gao, Siwei Ma
    Pages 35-49
  5. Wen Gao, Siwei Ma
    Pages 51-78
  6. Wen Gao, Siwei Ma
    Pages 79-93
  7. Wen Gao, Siwei Ma
    Pages 95-113
  8. Wen Gao, Siwei Ma
    Pages 115-134
  9. Wen Gao, Siwei Ma
    Pages 135-160
  10. Wen Gao, Siwei Ma
    Pages 161-176
  11. Wen Gao, Siwei Ma
    Pages 177-189
  12. Wen Gao, Siwei Ma
    Pages 191-209
  13. Wen Gao, Siwei Ma
    Pages 211-231
  14. Back Matter
    Pages 233-239

About this book


This comprehensive and accessible text/reference presents an overview of the state of the art in video coding technology. Specifically, the book introduces the tools of the AVS2 standard, describing how AVS2 can help to achieve a significant improvement in coding efficiency for future video networks and applications by incorporating smarter coding tools such as scene video coding.

Topics and features:

  • Introduces the basic concepts in video coding, and presents a short history of video coding technology and standards
  • Reviews the coding framework, main coding tools, and syntax structure of AVS2
  • Describes the key technologies used in the AVS2 standard, including prediction coding, transform coding, entropy coding, and loop-filters
  • Examines efficient tools for scene video coding and surveillance video, and the details of a promising intelligent video coding system
  • Discusses optimization technologies in video coding systems for reducing complexity, improving performance, and organizing compressed streams
  • Provides a review of image, video, and 3D content quality assessment algorithms
  • Surveys the hot research topics in video compression, including perceptual video compression, and Internet media-oriented compression

This invaluable work provides practical guidance for engineers on implementing the AVS2 standard, and will also prove helpful to students wishing to better understand the relevant techniques. Additionally, the book offers suggestions for researchers interested in developing smart video coding and processing frameworks for target problems.


AVS2 Standard Image and Video Coding Image and Video Quality Assessment Intelligent Video Systems Scene Video Coding Video Coding Optimization

Authors and affiliations

  • Wen Gao
    • 1
  • Siwei Ma
    • 2
  1. 1.Peking UniversityBeijingChina
  2. 2.Peking UniversityBeijingChina

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-14242-5
  • Online ISBN 978-3-319-14243-2
  • Buy this book on publisher's site