Distributed Multiple Description Coding: Principles, by Huihui Bai, Anhong Wang, Yao Zhao, Jeng-Shyang Pan, Ajith

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

The explosive progress of community, multimedia and instant know-how is essentially altering the way in which humans converse, fueling call for for trustworthy real-time transmission of photo and video data.

This specified text/reference systematically examines the problems in dispensed video coding (DVC) and a number of description coding (MDC), novel concepts designed to deal with the issues of traditional photograph and video compression coding. The publication starts off with a state of the art survey of the subject, earlier than featuring new tools for bettering the functionality of picture and video transmission utilizing DVC and MDC. masking all basic techniques and middle applied sciences, the chapters is also learn as self sufficient and self-sufficient, describing each one technique in enough aspect to allow readers to copy the corresponding experiments easily.

Topics and features:

  • Provides a large review of DVC and MDC, from the elemental rules to the newest research
  • Covers sub-sampling dependent MDC, quantization dependent MDC, remodel established MDC, and FEC established MDC
  • Discusses Sleplian-Wolf coding in accordance with rapid and LDPC respectively, and evaluating relative performance
  • Includes unique algorithms of MDC and DVC
  • Presents the elemental frameworks and experimental effects, to assist readers increase the potency of MDC and DVC
  • Introduces the classical DVC process for cellular communications, offering the developmental surroundings in detail

Researchers and engineers will locate this e-book an invaluable reference on DVC and MDC applied sciences, and a consultant for constructing functional functions for DVC and MDC platforms. The textual content can be of curiosity to graduate scholars in snapshot processing and sign processing.

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Distributed Multiple Description Coding: Principles, Algorithms and Systems

The explosive development of community, multimedia and instant know-how is essentially altering the best way humans converse, fueling call for for trustworthy real-time transmission of photo and video facts. This specified text/reference systematically examines the problems in disbursed video coding (DVC) and a number of description coding (MDC), novel concepts designed to deal with the issues of traditional photograph and video compression coding.

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Extra info for Distributed Multiple Description Coding: Principles, Algorithms and Systems

Sample text

3 Turbo-Based Slepian–Wolf Coding 43 accord to the rule of deleting to conduct interpolation for the received sequence and add an intermediate value at the deleted data bit (such as 0). In the traditional puncturing algorithm of RCPT, the information bits and parity bits have both been deleted, and the encoding based on RCPT Slepian–Wolf only pass parity bit, so it is only on the parity bit for puncturing. 5 Experimental Results and Analysis In this section, we will verify the compression performance of the RCPT-based Slepian–Wolf encoder.

Lett. 6(10), 440–442 (2002) 10. : Rate-adaptive distributed source coding using lowdensity parity-check codes. In: Proceedings of Asilomar Conference on Signals, Systems and Computers, Pacific Grove, pp. 1–8 (2005) Chapter 4 Algorithms of MD Network congestion and delay sensibility pose great challenges for multimedia communication system design. This creates a need for coding approaches combining high compression efficiency and robustness. Multiple-description (MD) coding has emerged as an attractive framework for robust transmission over unreliable channels.

27 and adopts a pseudo random interleaved mode; the number of decoding iteration is 10, and we regard it as correct decoding when bit code rate Pe Ä 10 5 . The specific steps are as follows: 1. Input source X and get 3n bits, remove the information bits X and store the parity bit Pa in the cache 2. Adjust the rate according to the puncturing matrix and ARQ feedback information. 26 is the puncturing matrix. 27) 10011001 10010001 3. When it is initialized, the lowest transmission bit rate is 1/8; if the receiving end is not able to decode correctly, then conduct decoding after supplementing 1/8 bit from the cache according to the puncturing matrix rules of RCPT transport.

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