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Proceedings Paper

Region-based video coding using backward motion-field segmentation
Author(s): Xuguang Yang; Kannan Ramchandran
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Paper Abstract

We introduce a novel region-based video compression framework based on morphology to efficiently capture motion correspondences between consecutive frames in an image sequence. Our coder is built on the observation that the motion field associated with typical image sequences can be segmented into component motion subfield 'clusters' associated with distinct objects or regions in the scene, and further that these clusters can be efficiently captured using morphological operators in a 'backward' framework that avoids the need to send region shape information. Regions segmentation is performed directly on the motion field by introducing a small 'core' for each cluster that captures the essential features of the cluster and reliably represents its motion behavior. Cluster matching is used in lieu of the conventional block matching methods of standard video codecs to define a cluster motion representation paradigm. Furthermore, a region-based pel-recursive approach is applied to find the refinement motion field for each cluster and the cluster motion prediction error image is coded by a novel adaptive scalar quantization method. Experimental results reveal a 10-20 percent reduction in prediction error energy and 0.5-2 dB gain in final reconstructed PSNR over the standard MPEG-12 coder at typical bitrates of 500 kbits/sec to 1 Mb/sec on standard test sequences.

Paper Details

Date Published: 10 January 1997
PDF: 11 pages
Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); doi: 10.1117/12.263287
Show Author Affiliations
Xuguang Yang, Univ. of Illinois/Urbana-Champaign (United States)
Kannan Ramchandran, Univ. of Illinois/Urbana-Champaign (United States)


Published in SPIE Proceedings Vol. 3024:
Visual Communications and Image Processing '97
Jan Biemond; Edward J. Delp, Editor(s)

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