Analysis of Block Matching Algorithms with Fast Computational and Winner-update Strategies
نویسندگان
چکیده
Block matching for motion estimation has been widely used in video compression for efficient transmission and storage of video bit stream by reducing the temporal redundancy existing 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.
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تاریخ انتشار 2013