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<p><b>Abstract</b>—Methods for video content analysis are necessary for the growing amount of video information delivered to consumers today. In this paper, we present a system for video content analysis called <it>Vitamin</it>, which provides management of a home video library. The system presents the user with a Visual Table of Contents that provides an overview of the video content and direct access to particular points in the stored video. In this process, we apply a computationally inexpensive, simple, yet powerful mechanism for cut detection and keyframe filtering. Our initial implementation and results show that this system can perform video content extraction in real time on a low-end platform that matches a Visual Table of Contents extracted by an expert.</p>
Video indexing, video segmentation, video retrieval, content-based video retrieval, video content analysis, Visual Table of Contents, video browsing.
Nevenka Dimitrova, Thomas McGee, Herman Elenbaas, Jacquelyn Martino, "Video Content Management in Consumer Devices", IEEE Transactions on Knowledge & Data Engineering, vol. 10, no. , pp. 988-995, November/December 1998, doi:10.1109/69.738361
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