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An optimal non-uniform scalar quantizer for distributed video coding

  • Wu Bo*
  • , Guo Xun
  • , Zhao Debin
  • , Gao Wen
  • , Wu Feng
  • *Corresponding author for this work

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

Abstract

In this paper, we propose a novel algorithm to design an optimal non-uniform scalar quantizer for distributed video coding, which aims at achieving a coding rate close to joint conditional entropy of the quantized video frames given the side information. Wyner-Ziv theory on source coding is employed as the basic coding principle and the asymmetric scenario is considered. In this algorithm, a probability distribution model, which considers the influence of the joint distribution of input source and side information to the coding performance, is established and used as the optimality condition firstly. Then, a modified Lloyd Max algorithm is used to design the scalar quantizer to give an optimal quantization for input source before coding. Experimental results show that compared to uniform scalar quantization, proposed algorithm can improve coding performance largely, especially at low bit rate.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
Pages165-168
Number of pages4
DOIs
StatePublished - 2006
Event2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Toronto, ON, Canada
Duration: 9 Jul 200612 Jul 2006

Publication series

Name2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
Volume2006

Conference

Conference2006 IEEE International Conference on Multimedia and Expo, ICME 2006
Country/TerritoryCanada
CityToronto, ON
Period9/07/0612/07/06

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