Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/247
Title: New adaptive partial distortion search using clustered pixel matching error characteristic
Authors: Hui, KC
Siu, WC 
Chan, YL 
Keywords: Block-matching algorithms
Partial distortion search algorithm
Issue Date: 2004
Publisher: IEEE
Source: 2004 IEEE International Symposium on Circuits and Systems : proceedings : May 23-26, 2004, Vancouver, British Columbia, Canada, 2004, p. II97-II100 How to cite?
Abstract: The partial distortion search is a particular attractive fast block-matching algorithm, because it introduces no prediction error as compared with the full-search algorithm. It reduces the number of necessary matching evaluations for every searching point to save computation. In the literature, many researches have tried to improve block-matching algorithms by making use of an assumption that pixels with larger gradient magnitudes have larger matching errors on average. Based on a simple analysis, we have found that on average, pixel matching errors with similar magnitudes tend to appear in clusters for natural video sequences. By using this clustering characteristic, we propose an adaptive partial distortion search algorithm which significantly improves the computational efficiency of the original PDS. This approach is much better than other pixel gradient based adaptive PDS algorithms. In addition, our proposed algorithm is suitable for motion estimation of both opaque and boundary macroblocks of an arbitrary shaped object in MPEG-4 coding.
URI: http://hdl.handle.net/10397/247
ISBN: 0-7803-8251-X
Rights: © 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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