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Distributed Multiple Description Coding

Principles, Algorithms and Systems

  • Book
  • © 2011

Overview

  • Presents a state-of-the-art survey of distributed video coding (DVC) and multiple description coding (MDC)
  • Describes each approach in detail, so that readers can easily repeat the corresponding experiments
  • Provides a practical guide to the systems of DVC and MDC for engineers

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Table of contents (6 chapters)

Keywords

About this book

This book examines distributed video coding (DVC) and multiple description coding (MDC), two novel techniques designed to address the problems of conventional image and video compression coding. Covering all fundamental concepts and core technologies, the chapters can also be read as independent and self-sufficient, describing each methodology in sufficient detail to enable readers to repeat the corresponding experiments easily. Topics and features: provides a broad overview of DVC and MDC, from the basic principles to the latest research; covers sub-sampling based MDC, quantization based MDC, transform based MDC, and FEC based MDC; discusses Sleplian-Wolf coding based on Turbo and LDPC respectively, and comparing relative performance; includes original algorithms of MDC and DVC; presents the basic frameworks and experimental results, to help readers improve the efficiency of MDC and DVC; introduces the classical DVC system for mobile communications, providing the developmental environment in detail.

Authors and Affiliations

  • Institute of Information Science, Beijing Jiaotong University, Beijing, China, People's Republic

    Huihui Bai, Yao Zhao

  • Taiyuan Univ. of Science and Technology, Taiyuan, China, People's Republic

    Anhong Wang

  • Department of Electronic Engineering, Nat. Kaohsiung Univ. of Applied Sciences, Kaohsiung, Taiwan R.O.C.

    Jeng-Shyang Pan

  • Auburn, USA

    Ajith Abraham

Bibliographic Information

  • Book Title: Distributed Multiple Description Coding

  • Book Subtitle: Principles, Algorithms and Systems

  • Authors: Huihui Bai, Anhong Wang, Yao Zhao, Jeng-Shyang Pan, Ajith Abraham

  • DOI: https://doi.org/10.1007/978-1-4471-2248-7

  • Publisher: Springer London

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag London Limited 2011

  • Hardcover ISBN: 978-1-4471-2247-0Published: 20 November 2011

  • Softcover ISBN: 978-1-4471-6130-1Published: 25 January 2014

  • eBook ISBN: 978-1-4471-2248-7Published: 19 November 2011

  • Edition Number: 1

  • Number of Pages: X, 174

  • Topics: Image Processing and Computer Vision, Coding and Information Theory

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