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  • Research Article
  • Open Access

Distributed Temporal Multiple Description Coding for Robust Video Transmission

  • 1, 2Email author,
  • 1,
  • 2 and
  • 2
EURASIP Journal on Wireless Communications and Networking20072008:183536

  • Received: 22 March 2007
  • Accepted: 6 June 2007
  • Published:


The problem of multimedia communications over best-effort networks is addressed here with multiple description coding (MDC) in a distributed framework. In this paper, we first compare four video MDC schemes based on different time splitting patterns and temporal two- or three-band motion-compensated temporal filtering (MCTF). Then, the latter schemes are extended with systematic lossy description coding where the original sequence is separated into two subsequences, one being coded as in the latter schemes, and the other being coded with a Wyner-Ziv (WZ) encoder. This amounts to having a systematic lossy Wyner-Ziv coding of every other frame of each description. This error control approach can be used as an alternative to automatic repeat request (ARQ) or forward error correction (FEC), that is, the additional bitstream can be systematically sent to the decoder or can be requested, as in ARQ. When used as an FEC mechanism, the amount of redundancy is mostly controlled by the quantization of the Wyner-Ziv data. In this context, this approach leads to satisfactory rate-distortion performance at the side decoders, however it suffers from high redundancy which penalizes the central description. To cope with this problem, the approach is then extended to the use of MCTF for the Wyner-Ziv frames, in which case only the low-frequency subbands are WZ-coded and sent in the descriptions.


  • Forward Error Correction
  • Video Transmission
  • Multimedia Communication
  • Time Split
  • Multiple Description Code

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Authors’ Affiliations

Institut de Recherche en Informatique et Systèmes Aléatoires, Institut National de Recherche en Informatique et en Automatique, Rennes Cedex, 35042, France
Groupe des Écoles des Télécommunications, Département TSI Signal-Images, École Nationale Supérieure des Télécommunications, 46 rue Barrault, Paris Cédex 13, 75634, France


© Olivier Crave et al. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.