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Proceedings Paper

Application of shift-invariant wavelet transform to video coding
Author(s): Mohammed A. Al-Mohimeed; Ching-Chung Li
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Paper Abstract

The standard discrete wavelet transform lacks translation invariance in 1-D signals and 2-D images. The down-sampling at each coarser scale accentuates the undesirable effects of the shift-variance, in particular, on the motion estimation from decomposed subimages in video coding. In this paper, we present a study of applying the Chui-Shi shift-invariant wavelet transform using 'oversampling frames' to video compression. Further, we present an algorithm for approximating the motion fields at different scales and different frequency bands by utilizing the multiresolution structure of wavelet decomposition. Motion vectors at a higher resolution are predicted by the motion vectors at a lower resolution through a proper scaling. Experimental results on a salesman video sequence show that the use of the 2-D oversampling algorithm of a biorthogonal spline wavelet has reduced the required number of motion vectors while maintaining an acceptable prediction error when compared to the classical block matching technique using the standard wavelet transform. The proposed approach will advance the video compression methodology for applications to HDTV and video conferencing.

Paper Details

Date Published: 17 January 1997
PDF: 12 pages
Proc. SPIE 2915, Video Techniques and Software for Full-Service Networks, (17 January 1997); doi: 10.1117/12.263397
Show Author Affiliations
Mohammed A. Al-Mohimeed, Univ. of Pittsburgh (United States)
Ching-Chung Li, Univ. of Pittsburgh (United States)


Published in SPIE Proceedings Vol. 2915:
Video Techniques and Software for Full-Service Networks
Andrew G. Tescher; Tzi-cker Chiueh, Editor(s)

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