Robust predictive coding and the Wyner-Ziv problem

Anshul Sehgal, Narendra Ahuja

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The problem of robust communication of predictive encoded video in a joint source-channel setting is addressed. Specifically, the problem of predictive mismatch, where there is a drift between the state of the encoder and the decoder is addressed as a variant of the Wyner-Ziv problem. A video encoding algorithm based on the H.26L video codec, which presents the propagation of error in predictively encoded video in the event of predictive mismatch (or drift) between the encoder and the decoder, is proposed. One of the main advantages of the proposed approach is that there is minimal loss in performance over the standard H.26L encoder during error-free transmission, while simultaneously allowing error recovery in the event of errors. Using turbo codes as coset codes, the performance of the proposed codec is evaluated and the efficacy of the proposed framework is demonstrated. The performance of the proposed approach can only improve with the use of superior coset codes.

Original languageEnglish (US)
Title of host publicationProceedings - DCC 2003
Subtitle of host publicationData Compression Conference
EditorsJames A. Storer, Martin Cohn
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages103-112
Number of pages10
ISBN (Electronic)0769518966
DOIs
StatePublished - Jan 1 2003
EventData Compression Conference, DCC 2003 - Snowbird, United States
Duration: Mar 25 2003Mar 27 2003

Publication series

NameData Compression Conference Proceedings
Volume2003-January
ISSN (Print)1068-0314

Other

OtherData Compression Conference, DCC 2003
CountryUnited States
CitySnowbird
Period3/25/033/27/03

Keywords

  • Data compression
  • Predictive coding
  • Robustness

ASJC Scopus subject areas

  • Computer Networks and Communications

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