Video Content Management in Consumer Devices

  • Authors:
  • Nevenka Dimitrova;Thomas McGee;Herman Elenbaas;Jacquelyn Martino

  • Affiliations:
  • -;-;-;-

  • Venue:
  • IEEE Transactions on Knowledge and Data Engineering
  • Year:
  • 1998

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Abstract

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 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.