DocumentCode :
3473274
Title :
Fast block motion estimation by edge based partial distortion search
Author :
Sarwer, Mohammed Golam ; Wu, Q. M Jonathan
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Windsor, Windsor, ON, Canada
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
1573
Lastpage :
1576
Abstract :
In order to reduce the computations of motion estimation, this paper proposes a novel edge based partial distortion search (EPDS) algorithm in which the entire macroblock (MB) is divided into different sub-blocks and the calculation order of partial distortion is determined based on the edge strength of sub-blocks. In the proposed method, only selected numbers of search points are considered for candidate motion vectors. An efficient early termination method, which is based on the dynamic threshold, is also proposed to decide whether a search point has met the distortion criterion. Simulation results show that the proposed method is 108 times faster than Full Search (FS), 10 times faster than Normalized Partial Distortion search (NPDS) and 2 times faster than the dual halfway stop NPDS (DHS-NPDS) on an average. PSNR degradation of the proposed algorithm is negligible and in the region of 0.01 dB.
Keywords :
distortion; edge detection; motion estimation; search problems; candidate motion vectors; distortion criterion; dual halfway stop NPDS; edge based partial distortion search; fast block motion estimation; normalized partial distortion search; Computational complexity; Computational modeling; Degradation; Distortion measurement; Motion compensation; Motion estimation; Motion measurement; PSNR; Video coding; Video sequences; Video coding; motion compensation; motion estimation; partial distortion search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5413377
Filename :
5413377
Link To Document :
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