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A Motion Estimation algorithm based on Markov Chain Model

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4 Author(s)
Zhijie Zhao ; Harbin University of Commerce, Heilongjiang, China ; Zhimin Cao ; Maoliu Lin ; Xuesong Jin

In this paper, we present a new fast Motion Estimation (ME) algorithm based on Markov Chain Model (MEMCM). Spatial-temporal correlation of video sequence and Markov Chain Model are used in the algorithm, which considers the continuity of video. Experimental simulation shows that the proposed algorithm has better performance in both speed-up and PSNR than PMVFAST.

Published in:

2010 IEEE International Conference on Acoustics, Speech and Signal Processing

Date of Conference:

14-19 March 2010