Improving Color Based Video Shot Detection

  • Authors:

  • W. Zhao;J. Wang;D. Bhat;K. Sakiewicz;N. Nandhakumar;W. Chang

  • Affiliations:

  • University of Maryland at College Park;LG Electronics Research Center of America,;LG Electronics Research Center of America,;LG Electronics Research Center of America,;LG Electronics Research Center of America,;Rochester Institute of Technology

  • Venue:
  • ICMCS '99 Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02
  • Year:
  • 1999

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Abstract

Video shot detection plays a fundamental role in video access/analysis. Among many shot detection schemes, color based schemes seem to be the most widely used ones which can be applied to videos of different domains. However, color based techniques are not always very efficient. For example, over-detection (high false-alarm rate) may occur, especially for difficult videos such as home video which often contain significant object motion and illumination change. In this paper, we propose a new learning method to improve the color based shot detection schemes by employing a better similarity measure obtained through a minmax optimization procedure. This new measure is not tied to a particular feature such as color, hence it can be applied to video browsing, indexing based on other features as well.