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Adaptive quantization for transform-domain Wyner-Ziv residual coding

  • Sungkyunkwan University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As prediction processes are not in Wyner-Ziv encoder but in decoder, the Wyner-Ziv coding cannot perform better than conventional video encoder. In order to improve its compression efficiency, Wyner-Ziv residual coding has been proposed which implements a prediction process with low complexity in the encoder. Although it has a good performance in pixel domain, it does not have any improvements in transform domain, since pre-defined quantization matrices are not compatible with the Wyner-Ziv residual coding. In this paper, we propose a new quantization method for transform domain Wyner-Ziv residual coding. Experimental result shows up to 36% gain in BDBR and 3.09dB gain in BDPSNR.

Original languageEnglish
Title of host publication2011 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, PACRIM 2011
Pages913-916
Number of pages4
DOIs
StatePublished - 2011
Event13th IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, PACRIM 2011 - Victoria, BC, Canada
Duration: 23 Aug 201126 Aug 2011

Publication series

NameIEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings

Conference

Conference13th IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, PACRIM 2011
Country/TerritoryCanada
CityVictoria, BC
Period23/08/1126/08/11

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