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《Journal of Electronics & Information Technology》 2008-10
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A Fast Multi-Pattern Motion Estimation Algorithm Based on Quantum Clonal Selection

Liu Zhen~①Bai Zhong-ying~①Shi Jin-ming~②Lin Zhao-wen~①~①(School of Computer Science,Beijing University of Posts and Telecommunications,Beijing 100876,China)~②(National Satellite and Meteorologic Centre,Beijing 100081,China)  
A novel fast multi-mode motion estimation algorithm based on the quantum clonal selection is proposed. According to the predictive motion vectors derived from spatio-temporal coherence of video sequences,the type of searching modes can be confirmed adaptively.In the stationary macroblock mode,current search is terminated immediately.In the mild motion mode,CDS method is used directly.In the drastic motion mode,a combined QCS/CDS search strategy is utilized.Firstly,the QCS method is used to search the appropriate optimal motion vector,then the CDS method is used to search global optimal motion vector.Experimental results show that the algorithm can speed up the process of motion estimation with fewer search points,while maintaining the average PSNR by using the full search algorithm with little loss.
【Fund】: 国家自然科学基金(30360047);; 国家基础科研项目(A2120061061)资助课题
【CateGory Index】: TP391.41
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