Wyner-Ziv encoded predictive multiple descriptions

Ashish Jagmohan, Narenda Ahuja

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

Abstract

The predictive multiple description coding problem can be posed as a variant of the well-known Wyner-Ziv side-information problem. Predictive MD coding in this framework (termed the WYZE-PMD) eliminates the problem of predictive mismatch without requiring restrictive channel assumptions or high latency. The performance of two-channel one-step predictive MD coding was analyzed within the WYZE-PMD framework. Achievable rate-distortion (R-D) regions were obtained for the problem of MD coding in the presence of correlated decoder side-information. These were used to obtain the operational R-D performance for predictive MD coding under certain restrictions. Practical code constructions were proposed within the WYZE-PMD framework. Performance comparisons between the proposed codes and conventional approaches were presented for communication of a first-order Gauss-Markov source over two erasure channels with independent failure probabilities. Results indicated that the proposed approach significantly out-performs conventional approaches in terms of R-D performance.

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.
Pages213-222
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

ASJC Scopus subject areas

  • Computer Networks and Communications

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