Shot Boundary Detection and Keyframe Extraction Based on Scale Invariant Feature Transform

  • Authors:
  • Gentao Liu;Xiangming Wen;Wei Zheng;Peizhou He

  • Affiliations:
  • -;-;-;-

  • Venue:
  • ICIS '09 Proceedings of the 2009 Eigth IEEE/ACIS International Conference on Computer and Information Science
  • Year:
  • 2009

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Abstract

In shot boundary detection, the key technology is to compute the visual content discontinuity values between consecutive video frames. In this paper, a unified framework is proposed to detect the shot boundaries and extract the keyframes of a shot. Firstly, the Scale invariant feature transform (SIFT) is adopted to compute the visual content discontinuity values. Then a new method, which is called the Local Double Threshold Shot Boundary Detection (LDT-SBD), is used to detect shot boundaries. Lastly, two mechanisms are proposed to extract keyframe. Experimental results show the framework is effective and has a good performance.