DocumentCode :
1675098
Title :
Priority search technique for MPEG-4 motion estimation of arbitrarily shaped video object
Author :
Hui, Ko-Cheung ; Chan, Yui-Lam ; Siu, Wan-chi
Author_Institution :
Centre for Multimedia Signal Process., Hong Kong Polytech. Univ., Kowloon, China
Volume :
3
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
644
Abstract :
One of the main differences between MPEG-4 and previously standardized video coding schemes is the support of arbitrarily shaped video objects, for which most of the existing fast motion estimation algorithms are not suitable. The conventional fast motion estimation algorithm works well for opaque macroblocks, but not in the case of a boundary macroblock which contains a large number of local minima on its error surface. We propose a fast search algorithm which incorporates the binary alpha-plane to predict accurately the motion vectors of boundary macroblocks. Besides, these accurate motion vectors can be used to develop a novel priority search algorithm which is an efficient search strategy for the remaining opaque macroblocks. Experimental results show that, compared to the conventional methods, our approach requires a low computational complexity and provides a significant improvement in terms of accuracy in motion-compensated video object planes
Keywords :
image matching; motion compensation; motion estimation; object detection; search problems; video coding; MPEG-4 motion estimation; arbitrarily shaped video object; block matching; boundary macroblocks; computational complexity; motion vectors; motion-compensated video object planes; priority search technique; video coding; Computational complexity; Encoding; Image sequences; MPEG 4 Standard; Motion estimation; Redundancy; Shape; Signal processing algorithms; Video coding; Video signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
Type :
conf
DOI :
10.1109/ICIP.2001.958201
Filename :
958201
Link To Document :
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