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  • 标题:Analysis of Block Matching Algorithms with Fast Computational and Winner-update Strategies
  • 本地全文:下载
  • 作者:Ibrahim Nahhas ; Martin Drahansky
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2013
  • 卷号:6
  • 期号:3
  • 出版社:SERSC
  • 摘要:Block matching for motion estimation has been widely used in video compression for effi- cient transmission and storage of video bit stream by reducing the temporal redundancy ex- isting in a video sequence. The motion estimation is a process to predict the motion between two successive frames. This paper is primarily a review of the block matching algorithms using fast computational and winner-update strategies. The paper describes and analyses different types of block matching algorithms, namely Full Search (FS), Fast Computational of Full Search (FCFS), Three Step Search (TSS), New Three Step Search (NTSS), Three Step Search with Winner Update Strategy (WinUpTSS), Four Step Search (FSS) and Diamond Search (DS) algorithms.
  • 关键词:block matching; motion estimation; FS; FCFS; TSS; NTSS; 4SS; DS
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