Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Video Shot Boundary Detection Using Correlation of Luminance and Edge Information

명도와 에지정보의 상관계수를 이용한 비디오샷 경계검출

  • 유헌우 (고려대학교 산업시스템정보공학과) ;
  • 정동식 (고려대학교 산업시스템정보공학과) ;
  • 나윤균 (수원대학교 산업공학과)
  • Published : 2001.04.01
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Abstract

The increase of video data makes the demand of efficient retrieval, storing, and browsing technologies necessary. In this paper, a video segmentation method (scene change detection method, or shot boundary detection method) for the development of such systems is proposed. For abrupt cut detection, inter-frame similarities are computed using luminance and edge histograms and a cut is declared when the similarities are under th predetermined threshold values. A gradual scene change detection is based on the similarities between the current frame and the previous shot boundary frame. A correlation method is used to obtain universal threshold values, which are applied to various video data. Experimental results show that propose method provides 90% precision and 98% recall rates for abrupt cut, and 59% precision and 79% recall rates for gradual change.

Keywords

References

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