Disparity-compensated picture prediction for multi-view video coding

Takanori Senoh, Terumasa Aoki, Hiroshi Yasuda, Takuyo Kogure

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

Abstract

Multi-view video coding (MVC) is currently being standardized by International Standardization Organization (ISO) and International Telecommunication Union (ITU). Although translation-based motion compensation can be applied to the picture prediction between different cameras, a better prediction exists if the camera parameters are known. This paper analyses the rules between pictures taken at the parallel or arc camera arrangements where the object is facing to an arbitrary direction. Based on the derived rules, block-width, block-slant and block-height compensations are proposed for the accurate picture prediction. A fast disparity vector detection algorithm and an efficient disparity vector compression algorithm are also discussed.

Original languageEnglish
Title of host publicationMultimedia Content Representation, Classification and Security - International Workshop, MRCS 2006. Proceedings
PublisherSpringer-Verlag
Pages699-705
Number of pages7
ISBN (Print)3540393927, 9783540393924
Publication statusPublished - 2006 Jan 1
EventInternational Workshop on Multimedia Content Representation, Classification and Security, MRCS 2006 - Istanbul, Turkey
Duration: 2006 Sep 112006 Sep 13

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4105 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Workshop on Multimedia Content Representation, Classification and Security, MRCS 2006
CountryTurkey
CityIstanbul
Period06/9/1106/9/13

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Senoh, T., Aoki, T., Yasuda, H., & Kogure, T. (2006). Disparity-compensated picture prediction for multi-view video coding. In Multimedia Content Representation, Classification and Security - International Workshop, MRCS 2006. Proceedings (pp. 699-705). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4105 LNCS). Springer-Verlag.