DocumentCode :
2725913
Title :
Fuzzy Motion Interpolation for Mesh-Based Motion Estimation
Author :
Eslami, Abouzar ; Sadati, Nasser ; Jahed, Mehran
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran
fYear :
2007
fDate :
1-5 April 2007
Firstpage :
101
Lastpage :
106
Abstract :
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
Keywords :
fuzzy set theory; image sequences; interpolation; motion estimation; video coding; fuzzy membership functions; fuzzy motion interpolation; fuzzy rules; image sequences; mesh-based motion estimation; object boundary; pixel association; pixel detachment; pixel motion interpolation; video coding; Computational intelligence; Image sequences; Intelligent robots; Interpolation; Laboratories; Machine vision; Motion estimation; PSNR; Robot vision systems; Video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Image and Signal Processing, 2007. CIISP 2007. IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0707-9
Type :
conf
DOI :
10.1109/CIISP.2007.369301
Filename :
4221402
Link To Document :
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