Distributed Multiple Description Coding - Huihui Bai, Anhong Wang, Yao Zhao, Jeng-Shyang Pan & Ajith Abraham

Distributed Multiple Description Coding

By Huihui Bai, Anhong Wang, Yao Zhao, Jeng-Shyang Pan & Ajith Abraham

  • Release Date: 2011-11-19
  • Genre: Computers & Internet

Description

The explosive growth of network, multimedia and wireless technology is fundamentally changing the way people communicate, fueling demand for reliable real-time transmission of image and video data.

This unique text/reference systematically examines the issues in distributed video coding (DVC) and multiple description coding (MDC), two novel techniques designed to address the problems of conventional image and video compression coding. The book begins with a state-of-the-art survey of the topic, before proposing new methods for improving the performance of image and video transmission using DVC and MDC. 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 researchCovers sub-sampling based MDC, quantization based MDC, transform based MDC, and FEC based MDCDiscusses Sleplian-Wolf coding based on Turbo and LDPC respectively, and comparing relative performanceIncludes original algorithms of MDC and DVCPresents the basic frameworks and experimental results, to help readers improve the efficiency of MDC and DVCIntroduces the classical DVC system for mobile communications, providing the developmental environment in detail
Researchers and engineers will find this book a useful reference on DVC and MDC technologies, and a guide for developing practical applications for DVC and MDC systems. The text will also be of interest to graduate students in image processing and signal processing.