Two-steps cross-diamond fast search algorithm on motion estimation in H.264

被引:0
|
作者
Liu, Qin [1 ]
Hiratsuka, Seiichiro [2 ]
Goto, Satoshi [1 ]
Ikenaga, Takeshi [1 ]
机构
[1] Waseda Univ, Grad Sch Informat Prod & Syst, Kitakyushu, Fukuoka 8080135, Japan
[2] Fukuoka Ind Sci & Technol Fdn, Kitakyushu, Fukuoka, Japan
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Motion estimation plays a key role in the h.264/AVC. It is the most computationally intensive module. Although many fast motion estimation algorithms have been proposed to reduce the huge calculation complexity instead of full search, the motion estimation time still can not satisfy the critical real-time applications' needs. This paper proposes a fast search based on a two-steps coarse to fine strategy by Cross and Diamond search patterns. And we also combines some motion vector predictors and early terminations technique to reduce search points. The experiment results shows that this fast search algorithm has reduced 60% search points and 20% Motion Estimation time compared with UMHexagonS algorithm, with only less than 0.04dB loss in the video quality.
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页码:782 / +
页数:2
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