Video content management in consumer devices

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 Vitamin, which provides managemen t 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 acce ss to particular points in the stored video. In this process, we apply a co mputationally inexpensive, simple, yet powerful mechanism for cut detection and keyframe filtering. Our initial implementation and results show that t his system can perform video content extraction in real time on a low-end p latform that matches a Visual Table of Contents extracted by an expert.