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)
Subjects:	Applied sciences Codecs Coding Coding, codes Complexity theory Computational complexity Correlation Decomposition Detection, estimation, filtering, equalization, prediction Discrete cosine transforms Encoding energy compaction Exact sciences and technology frame independence Gain Image processing Information, signal and communications theory Matrices Matrix decomposition Reduction Redundancy Signal and communications theory Signal processing Signal, noise simultaneous low-rank approximation of matrices Telecommunications and information theory Temporal logic Video coding video decomposition Video coding video decomposition Motion estimation Image processing Redundancy frame independence Time correlation simultaneous low-rank approximation of matrices Decoding Computational complexity Video signal processing Codec energy compaction Signal processing Random access Visual signal
ISSN:	1057-7149, 1941-0042, 1941-0042
Online Access:	Get full text
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