A New Mesh-Based Temporal-Spatial Segmentation for Image Sequence

Authors:
Chung Ming Kuo;Chaur Heh Hsieh;Yong Ren Huang;Zen Sun Lo
Affiliations:
-;-;-;-
Venue:
COMPSAC '00 24th International Computer Software and Applications Conference
Year:
2000

Citing 5
Cited 1

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Block-based motion field segmentation for video coding

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Abstract

Video segmentation, which identifies an object from an image sequence, is a crucial issue for the object-based video processing. This paper presents a mesh-based silhouette segmentation technique for video sequence. We first define an active motion activity as a temporal measure, and then a new maximum a posteriori (MAP) scheme for spatial segmentation is developed. We also introduce clique potentials for the Gibbs distribution such that the edge connectivity and the smoothness of the homogeneous patches are guaranteed. Simulation results indicate that the new method achieves very good segmentation results with much lower computational cost, as compared to the existing techniques.