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Proceedings Paper

Spatial-temporal segmentation scheme for object-oriented video coding based on wavelet and MMRF
Author(s): Lei Zheng; Andrew K. Chan; Jyh-Charn S. Liu
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Paper Abstract

In this paper, we introduce an object segmentation algorithm that can be used in object oriented video coding, computer vision, target tracking or video sequence analysis. The algorithm is based on two kinds of information from a video sequence: the color segmentation which provides the spatial domain information and the motion estimation which provides the temporal information. The DWT based MRF segmentation algorithm, which can avoid oversegmentation problems, is used for color segmentation. The quadtree motion estimation algorithm which employs the color segmentation results and DWT coefficients is used for motion segmentation. Finally, an object extracting procedure will be used to combine the spatial-temporal information and extract an object out.

Paper Details

Date Published: 26 October 1999
PDF: 10 pages
Proc. SPIE 3813, Wavelet Applications in Signal and Image Processing VII, (26 October 1999); doi: 10.1117/12.366839
Show Author Affiliations
Lei Zheng, Texas A&M Univ. (United States)
Andrew K. Chan, Texas A&M Univ. (United States)
Jyh-Charn S. Liu, Texas A&M Univ. (United States)


Published in SPIE Proceedings Vol. 3813:
Wavelet Applications in Signal and Image Processing VII
Michael A. Unser; Akram Aldroubi; Andrew F. Laine, Editor(s)

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