MISC

2012年

Local Intensity Compensation using Sparse Representation

2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012)
  • Koji Inoue
  • ,
  • Hironobu Saito
  • ,
  • Yoshimitsu Kuroki

開始ページ
951
終了ページ
954
記述言語
英語
掲載種別
出版者・発行元
IEEE

This paper proposes a motion compensation method using sparse representation for video coding technique. A new generation video compression technology known as the HEVC (High Efficiency Video Coding) suggests a novel motion compensation called local intensity compensation. Local intensity compensation represents a current block by a linear combination of some reference blocks. In this study, the weight coefficients of the linear combination are calculated by sparse representation. Sparse representation is able to obtain many zero coefficients, thus the current block can be represented by a few and meaningful reference blocks. The experimental observations demonstrate that the quality of local intensity compensation increases by sparse representation.


リンク情報
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000343660601012&DestApp=WOS_CPL
URL
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84874562739&origin=inward

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