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Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1927

Title: New adaptive pixel decimation for block motion vector estimation
Authors: Chan, Yui-lam
Siu, Wan-chi
Subjects: Adaptive codes
Image matching
Motion estimation
Video coding
Issue Date: Feb-1996
Publisher: IEEE
Citation: IEEE transactions on circuits and systems for video technology, Feb. 1996, v. 6, no. 1, p. 113-118.
Abstract: A new adaptive technique based on pixel decimation for the estimation of motion vector is presented. In a traditional approach, a uniform pixel decimation is used. Since part of the pixels in each block do not enter into the matching criterion, this approach limits the accuracy of the motion vector. In this paper, 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 mainly contributes 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 significant computational reduction.
Description: DOI: 10.1109/76.486426
Rights: © 1996 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.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/1927
ISSN: 1051-8215
Appears in Collections:EE Journal/Magazine Articles

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