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    NTHUR > College of Electrical Engineering and Computer Science > Department of Electrical Engineering > EE Conference Papers >  Hierarchical motion estimation algorithm based on pyramidal successive elimination

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    Title: Hierarchical motion estimation algorithm based on pyramidal successive elimination
    Authors: Chia-Wen Lin;Yao-Jen Chang;Yung-Chang Chen
    Teacher: 林嘉文
    Date: 1998
    Publisher: Institute of Electrical and Electronics Engineers
    Relation: Proc. Int. Computer Symp., Tainan, Taiwan, Dec. 1998, Pages 41-44
    Keywords: Hierarchical
    pyramidal successive elimination
    Abstract: In this paper, we propose a hierarchical three step search algorithm using pyramid hierarchy. Hierarchical Minkowski inequality is adopted to reduce the cost of the sum of absolute difference (SAD) computations. A top-town procedure is developed to search motion vectors hierarchically and the search pattern used in the well-known Three Step Search (TSS) is adopted. We also propose a hybrid motion estimation scheme by combining the proposed Hierarchical Block Sum Pyramid Three Step Search (HBSPTSS) with the famous Block-Based Gradient Search (BBGDS) algorithms. Experimental results show that, compared to other existing search algorithms, the proposed hybrid search algorithm can achieve high computation efficiency for both slow-motion and fast-motion video contents while maintaining excellent PSNR performance. It is thus suitable for wide application fields with real-time requirement.
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    Appears in Collections:[Department of Electrical Engineering] EE Conference Papers

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