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Title: Low-complexity video coding based on two dimensional singular value decomposition
Authors: Gu, Zhouye
Lin, Weisi
Lee, Bu-Sung
Lau, Chiew Tong
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2011
Source: Gu, Z., Lin, W., Lee, B.-S., & Lau, C. T. (2011). Low-complexity video coding based on two dimensional singular value decomposition. IEEE transactions on image processing, 21(2), 674-687.
Series/Report no.: IEEE transactions on image processing
Abstract: 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.
ISSN: 1057-7149
DOI: 10.1109/TIP.2011.2166969
Rights: © 2011 IEEE
Fulltext Permission: none
Fulltext Availability: No Fulltext
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