Fuzzy motion interpolation for mesh-based motion estimation

被引:3
|
作者
Eslami, Abouzar [1 ]
Sadati, Nasser [2 ]
Jahed, Mehran [1 ]
机构
[1] Sharif Univ Technol, Dept Elect Engn, Robot & Machine Vis Lab, POB 11365-9363, Tehran, Iran
[2] Sharif Univ Technol, Dept Elect Engn, Intelligent Syst Lab, Tehran, Iran
关键词
D O I
10.1109/CIISP.2007.369301
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Mesh-based motion estimation is an important tool for video coding especially with low bit rate. In this paper, a new method for interpolating pixel motion from adjacent mesh nodes with the ability of omitting independent nodes is proposed. By exploiting fuzzy rules to determine the association of pixel and neighboring nodes, the proposed interpolation can detach pixels from some nodes. Consequently, it can deal with those critical patches on objects boundary which their nodes do not belong to one object. Updating the membership functions of each rule with specified strategy makes the interpolation adaptive with non-stationary conditions of image sequences and decreases sensitivity to initial selection of parameters. Experimental results show that the proposed method, in comparison with the conventional methods, increases the motion interpolation accuracy while does not accompanies with massive time cost and complexity.
引用
收藏
页码:101 / +
页数:3
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