Low-Complexity Video Coding Based on Two-Dimensional Singular Value Decomposition

In this paper, we propose a low-complexity video coding scheme based upon 2-D singular value decomposition (2-D SVD), which exploits basic temporal correlation in visual signals without resorting to motion estimation (ME). By exploring the energy compaction property of 2-D SVD coefficient matrices,...

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Bibliographic Details
Published in:IEEE transactions on image processing Vol. 21; no. 2; pp. 674 - 687
Main Authors: ZHOUYE GU, WEISI LIN, LEE, Bu-Sung, CHIEWTONG LAU
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.02.2012
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:1057-7149, 1941-0042, 1941-0042
Online Access:Get full text
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Summary:In this paper, we propose a low-complexity video coding scheme based upon 2-D singular value decomposition (2-D SVD), which exploits basic temporal correlation in visual signals without resorting to motion estimation (ME). By exploring the energy compaction property of 2-D SVD coefficient matrices, high coding efficiency is achieved. The proposed scheme is for the better compromise of computational complexity and temporal redundancy reduction, i.e., compared with the existing video coding methods. In addition, the problems caused by frame decoding dependence in hybrid video coding, such as unavailability of random access, are avoided. The comparison of the proposed 2-D SVD coding scheme with the existing relevant non-ME-based low-complexity codecs shows its advantages and potential in applications.
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ISSN:1057-7149
1941-0042
1941-0042
DOI:10.1109/TIP.2011.2166969