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A new efficient block-matching algorithm for motion estimation

Journal of VLSI Signal Processing Systems for Signal, Image, and Video technology 2006年第1期42卷 21-33页

作者： Mahmoud, Hanan Goel, Sumeer Shaaban, Mohsen Bayoumi, Magdy Faculty of Engineering University of Alexandria University Buildings 9 Albert Street Semouha Alexandria 21321 Egypt Center for Advanced Computer Studies University of Louisiana at Lafayette 110 Rex Street Lafayette LA 70504 Faculty of Engineering University of Alexandria Computer Science Department Department of Computer Engineering Department of Computer Science Center for Advanced Computer Studies University of Louisiana Lafayette Technical Committee on Circuits and Systems for Communication Technical Committee on Signal Processing Design and Implementation Neural Network and the Multimedia Technology Technical Committees University of Louisiana Lafayette

This paper presents a new full-search block-matching algorithm: Multi-stage Interval-based Motion Estimation algorithm (MIME). The proposed algorithm is a block based motion estimation algorithm that utilizes successive elimination technique. We define two approximate functions, as the upper and lower boundaries of the interval that includes the Conventional distortion metric SAD. Each stage in the proposed algorithm;except for the last stage;incorporates low resolution pixels for the boundary functions calculations. The final stage is a full resolution block matching stage. MIME has a high probability of finding the optimal motion vector at any stage of the algorithm. The proposed algorithm reduces the computational complexity by successively eliminating non-candidate blocks from the search window at each stage. This computational reduction leads to enhanced performance in terms of low power consumption and fast motion vector estimation. A low power VLSI implementation of the algorithm is also presented in this paper. Simulation results on benchmark video sequences shows that MIME algorithm eliminates almost 88% of the candidate blocks after only two interval based stages. © Springer Science + Business Media, Inc. 2006.

关键词： Motion estimation

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