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Entropy Coders of the H.264/AVC Standard

Algorithms and VLSI Architectures

  • Book
  • © 2011

Overview

Authors:
  1. Xiaohua Tian

    1. Dept. Electrical & Computer Engineering, National University of Singapore, Singapore, Singapore

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  2. Thinh M. Le

    1. St-Laurent, Canada

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    You can also search for this author in PubMed   Google Scholar

  3. Yong Lian

    1. Dept. Electrical & Computer Engineering, National University of Singapore, Singapore, Singapore

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  • Opens a way to impressive compression performance and a new multimedia applications
  • Presents the Design and Architecture of a Context Adaptive Binary Arithmetic Coding(CABAC) Encoder
  • Includes supplementary material: sn.pub/extras

Part of the book series: Signals and Communication Technology (SCT)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xxiv
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  2. Background on Video Coding and Entropy Coding

    1. Front Matter

      Pages 1-1
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    2. Introduction to Video Compression

      • Xiaohua Tian, Thinh M. Le, Yong Lian
      Pages 3-27

    3. Review of CAVLC, Arithmetic Coding, and CABAC

      • Xiaohua Tian, Thinh M. Le, Yong Lian
      Pages 29-39

    4. Review of Existing Statistical Codec Designs

      • Xiaohua Tian, Thinh M. Le, Yong Lian
      Pages 41-68

  3. Design of a Typical Entropy Coder

    1. Front Matter

      Pages 69-69
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    2. Design of a CABAC Encoder

      • Xiaohua Tian, Thinh M. Le, Yong Lian
      Pages 71-98

    3. Efficient Architecture for Context Modeling in the CABAC Encoder

      • Xiaohua Tian, Thinh M. Le, Yong Lian
      Pages 99-121

    4. Design of System Bus Interface and Inter-connection of SoC-Based CABAC Encoder

      • Xiaohua Tian, Thinh M. Le, Yong Lian
      Pages 123-136

    5. Circuit Design, Implementation, and Verification of CABAC Encoder

      • Xiaohua Tian, Thinh M. Le, Yong Lian
      Pages 137-143

    6. Power Reduction Strategies, MBIST, and Design Performance Comparison

      • Xiaohua Tian, Thinh M. Le, Yong Lian
      Pages 145-162

    7. Conclusions

      • Xiaohua Tian, Thinh M. Le, Yong Lian
      Pages 163-166

  4. Back Matter

    Pages 167-179
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Keywords

About this book

This book presents a collection of algorithms and VLSI architectures of entropy (or statistical) codecs of recent video compression standards, with focus on the H.264/AVC standard. For any visual data compression scheme, there exists a combination of two, or all of the following three stages: spatial, temporal, and statistical compression. General readers are first introduced with the various algorithms of the statistical coders. The VLSI implementations are also reviewed and discussed. Readers with limited hardware design background are also introduced with a design methodology starting from performance-complexity analyses to software/hardware co-simulation. A typical design of the Contextbased Adaptive Binary Arithmetic Coding (CABAC) encoder is also presented in details. To support System-on-Chip design environment, the CABAC design is wrapped with a SoC-based Wishbone system bus interface.

Authors and Affiliations

  • Dept. Electrical & Computer Engineering, National University of Singapore, Singapore, Singapore

    Xiaohua Tian, Yong Lian

  • St-Laurent, Canada

    Thinh M. Le

Bibliographic Information

  • Book Title: Entropy Coders of the H.264/AVC Standard

  • Book Subtitle: Algorithms and VLSI Architectures

  • Authors: Xiaohua Tian, Thinh M. Le, Yong Lian

  • Series Title: Signals and Communication Technology

  • DOI: https://doi.org/10.1007/978-3-642-14703-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2011

  • Hardcover ISBN: 978-3-642-14702-9Published: 28 October 2010

  • Softcover ISBN: 978-3-642-26570-9Published: 01 December 2012

  • eBook ISBN: 978-3-642-14703-6Published: 17 October 2010

  • Series ISSN: 1860-4862

  • Series E-ISSN: 1860-4870

  • Edition Number: 1

  • Number of Pages: XXIV, 180

  • Number of Illustrations: 81 b/w illustrations

  • Topics: Communications Engineering, Networks

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