Joint contour-based and motion-based image sequence segmentation for TV image coding at very low bit rate

Jenny Benois-Pineau; Ling Wu Zhang; Dominique Barba

doi:10.1117/12.185867

16 September 1994 Joint contour-based and motion-based image sequence segmentation for TV image coding at very low bit rate

Jenny Benois-Pineau, Ling Wu Zhang, Dominique Barba

Author Affiliations +

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185867
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

Abstract

This paper describes a spatio-temporal segmentation of image sequences for object-oriented low bit rate image coding. The spatio-temporal segmentation is received by merging the spatial homogeneous regions into motion homogeneous ones. Each of these regions is characterized by a motion parameters vector and structural information which represents a polygonal approximation of region border. The segmentation of the current frames in the sequence is obtained by prediction and refinement. A predictive coding scheme is developed. Some estimates of the quantity of information are given.

Citation Download Citation

Jenny Benois-Pineau, Ling Wu Zhang, and Dominique Barba "Joint contour-based and motion-based image sequence segmentation for TV image coding at very low bit rate", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185867

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