Multi Point Search Pattern for Fast Search Motion Estimation of High Resolution Video Coding

Multi Point Search Pattern for Fast Search Motion Estimation of High Resolution Video Coding

Автор: Nehal N. Shah, Upena D. Dalal, Priyank H. Prajapati

Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp

Статья в выпуске: 7 vol.7, 2015 года.

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Block matching algorithm (BMA) based motion estimation (ME) is most accepted method for removal of temporal redundancy between frames in video coding. With recent advancement in resolution of video, the need of search pattern covering most of macroblocks within search area in frame is increasing. Existing search patterns are tiny and take plenty of time to reach at edge or corner of the search window. With aim of covering nearly every probable candidate macroblocks in all direction and to speed up the search process, multipoint search patterns are presented in this paper. Initial candidate macroblocks are chosen on grid of 12x12 and then search progresses like traditional diamond or hexagon search. Due to multipoint, chances of trapping in incorrect direction is very less and method can exhibit better quality of encoding with optimum number of search points.

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Motion Estimation, Fast search block matching algorithm, Multi point search, H.265, HD video sequences

Короткий адрес: https://sciup.org/15013891

IDR: 15013891

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