Fast Matching Pursuit Method Using Property of Symmetry and Classification for Scalable Video Coding

Seokbyoung OH  Byeungwoo JEON  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E84-A   No.6   pp.1454-1460
Publication Date: 2001/06/01
Online ISSN: 
DOI: 
Print ISSN: 0916-8508
Type of Manuscript: Special Section PAPER (Special Section on Papers Selected from 2000 International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2000))
Category: 
Keyword: 
matching pursuit,  scalable coding,  dictionary,  atom,  

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Summary: 
Matching pursuit is a signal expansion technique whose efficiency for motion compensated residual image has been successfully demonstrated in the MPEG-4 development. However, one of the practical concerns related to applying matching pursuit algorithm to real-time coding of video is its massive computation required for finding atoms. This paper proposes a new fast method based on three properties of basis functions used in the signal expansion. The first one is the symmetry property of the 1-D bases. The second one is that one can preclude many bases that cannot be atom by checking a simple mathematical condition. The last one is the classification property of 2-D bases in a given dictionary. Experimental result shows that our method can perform the same matching pursuit without any image degradation using only about 40% of computational load required by the conventional fast method based on separability of 2-D Gabor dictionary. Furthermore, if negligible quality degradation is allowed, the method can be extended to perform matching pursuit with only about 10% of the computational load required by the conventional fast method. We apply the proposed fast matching pursuit method to scalable coding of video with two layers.