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Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1935

Title: Robust and fast global motion estimation for arbitrarily shaped video objects in MPEG-4
Authors: Cheung, Hoi-kin
Chan, Yui-lam
Siu, Wan-chi
Subjects: Computational complexity
Data compression
Motion compensation
Video coding
Issue Date: 2004
Publisher: IEEE
Citation: ICSP '04 : 2004 7th International Conference on Signal Processing : proceedings : Aug. 31-Sept. 4, 2004, Beijing, China, v. 2, p. 1163-1166.
Abstract: Global motion estimation is used for exploiting temporal redundancies in arbitrarily shaped video objects, which is computationally the most demanding part within the MPEG-4 standard. In this paper, we propose a robust and fast method for the estimation of global motion of video objects used in the MPEG-4. Predictors are widely used in block-based motion estimation and it is well proven that the use of good predictors can speed up the motion estimation process. The proposed algorithm makes use of the shape information (alpha-plane) of video objects to form a new predictor. From the experimental results, we conclude that the new predictor provides additional performance gains with reducing computational complexity of global motion estimation.
Description: DOI: 10.1109/ICOSP.2004.1441531
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.
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: Conference Paper
URI: http://hdl.handle.net/10397/1935
ISBN: 0-7803-8406-7
Appears in Collections:EIE Conference Papers & Presentations

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