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- W2159470628 abstract "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)." @default.
- W2159470628 created "2016-06-24" @default.
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- W2159470628 date "2002-11-13" @default.
- W2159470628 modified "2023-09-24" @default.
- W2159470628 title "A noise-reduction approach to scene segmentation for large video databases" @default.
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- W2159470628 doi "https://doi.org/10.1109/itcc.2001.918801" @default.
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