DocumentCode :
2341772
Title :
A fast motion estimation algorithm by using Immune Quantum Algorithm
Author :
Zhen, Liu ; Jin-ming, Shi ; Zhong-ying, Bai ; Jin-yan, Zhao
Author_Institution :
Sch. of Comput. Sci., Beijing Univ. of Posts & Telecommun., Beijing
fYear :
2008
fDate :
3-5 June 2008
Firstpage :
505
Lastpage :
509
Abstract :
In this paper, a novel fast multi-mode motion estimation algorithm by using immune quantum algorithm is proposed. By the judgement of the motion style according to he correlation of the motion vector. the type of searching modes can be choosed adaptively. In the slow-motion mode, CDS method can be used directly. In the exquisite motion mode, a combined IQA/CDS search strategy is utilized. Firstly, the IQA method is used to search the appropriate best motion vector in the combined search strategy, which can synthesizes the character of block motion estimation and that of global search, no prone to premature and high convergence speed. Then the CDS method is used to search global best motion vector in the region around the appropriate motion vector. Experimental results show that the algorithm can speed up the process of motion estimation effectively.
Keywords :
motion estimation; block motion estimation; immune quantum algorithm; motion vector; multimode motion estimation algorithm; slow-motion mode; Computer science; Convergence; Image coding; Meteorology; Motion estimation; Satellites; Statistics; Video coding; Video compression; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1717-9
Electronic_ISBN :
978-1-4244-1718-6
Type :
conf
DOI :
10.1109/ICIEA.2008.4582567
Filename :
4582567
Link To Document :
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