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19 November 2003 Cross-search-based fast new three-step search motion estimation using temporal correlation (CFNTSS)
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Full search block matching motion estimation requires a very large amount of computing power. To overcome this problem, many fast search algorithms have been proposed. But, all these algorithms do not satisfy both matching error performance and real time property at the same time. This paper proposes a novel fast block matching algorithm using temporal correlation and center biased behavior of motion vector. In proposed algorithm, we modify new three-step search algorithm to combine technique for temporal correlation of motion vectors and center biased assumption. In real video sequences, there are many overlapped motion vectors between adjacent frames. Thus, by finding these duplicated motion vectors with a simple search rule, the proposed algorithm dramatically reduces the computational amount with low quality degradation.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sang-Yeul Kong, Yoon-Hee Choi, and Tae-Sun Choi "Cross-search-based fast new three-step search motion estimation using temporal correlation (CFNTSS)", Proc. SPIE 5203, Applications of Digital Image Processing XXVI, (19 November 2003);


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