Video Data Scene Segmentation Method Using Region Segmentation 


Vol. 8,  No. 5, pp. 493-500, Oct.  2001
10.3745/KIPSTB.2001.8.5.493


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  Abstract

Video scene segmentation is fundamental role for content based video analysis. In this paper, we propose a new region based video scene segmentation method using continuity test for each object region which is segmented by the watershed algorithm for all frames in video data. For this purpose, we first classify video data segments into two classes that are the dynamic and static sections according to the object movement rate by comparing the spatial and shape similarity of each region. And then, try to segment each senes by grouping each sections by comparing the neighbor section similarity. Because, this method uses the region which represented an object as a similarity measure, it can segment video scenes efficiently without undesirable fault alarms by illumination and partial changes.

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[IEEE Style]

S. J. Youm and W. S. Kim, "Video Data Scene Segmentation Method Using Region Segmentation," The KIPS Transactions:PartB , vol. 8, no. 5, pp. 493-500, 2001. DOI: 10.3745/KIPSTB.2001.8.5.493.

[ACM Style]

Sung Ju Youm and Woo Saeng Kim. 2001. Video Data Scene Segmentation Method Using Region Segmentation. The KIPS Transactions:PartB , 8, 5, (2001), 493-500. DOI: 10.3745/KIPSTB.2001.8.5.493.

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