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|Title:||Low-complexity video coding based on two dimensional singular value decomposition||Authors:||Gu, Zhouye
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.||URI:||https://hdl.handle.net/10356/99225
|ISSN:||1057-7149||DOI:||http://dx.doi.org/10.1109/TIP.2011.2166969||Rights:||© 2011 IEEE||Fulltext Permission:||none||Fulltext Availability:||No Fulltext|
|Appears in Collections:||SCSE Journal Articles|
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