Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1925
Title: A new block motion vector estimation using adaptive pixel decimation
Authors: Chan, YL 
Siu, WC 
Keywords: Adaptive signal processing
Computational complexity
Image matching
Image texture
Motion estimation
Video coding
Issue Date: 1995
Publisher: IEEE
Source: ICASSP : The 1995 International Conference on Acoustics, Speech and Signal Processing : conference proceedings : May 9-12, 1995, Detroit, Michigan, U.S.A., v. 4, p. 2257-2260 How to cite?
Abstract: A new adaptive technique based on pixel decimation for estimating motion vector is presented. In traditional approach, a uniform pixel decimation is used. Since some pixels in each block do not enter into the matching criterion, this approach might limit the accuracy of the motion vector. We select the most representative pixels based on image content in each block for the matching criterion. This is due to the fact that high activity in the luminance signal such as edges and texture contributes mainly to the matching criterion. Our approach can compensate the drawback in standard pixel decimation techniques. Computer simulations show that this technique is close to the performance of the exhaustive search with a significant reduction on computational complexity.
URI: http://hdl.handle.net/10397/1925
ISBN: 0-7803-2431-5
DOI: 10.1109/ICASSP.1995.479940
Rights: © 1995 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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