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A noise-reduction approach to scene segmentation for large video databases

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2 Author(s)
Tavanapong, W. ; Dept. of Comput. Sci., Iowa State Univ., Ames, IA, USA ; Junyu Zhou

Automatic video segmentation is the first and necessary step that structures a video into several smaller and meaningful units for effective browsing and retrieval for large video databases. The effectiveness of this step is, thus, very crucial to the overall performance of a video database management system. We present a novel concept in scene segmentation called noise-reduction scene segmentation. This approach discards irrelevant areas or noise in a video frame from being used in the segmentation process to increase the accuracy of the segmentation. Unlike existing techniques, video frames are first noise-reduced and only relevant information is left for subsequent steps of the segmentation process. Our experimental results indicate that a seamless integration of our simple noise filter to an existing scene segmentation technique offers a non-negligible improvement in the segmentation accuracy (i.e., as much as 59% less falsely detected scenes)

Published in:

Information Technology: Coding and Computing, 2001. Proceedings. International Conference on

Date of Conference:

Apr 2001