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Gradual Scene Change Detection Using Variance of Edge Image

에지 영상의 분산을 이용한 비디오의 점진적 장면전환 검출

  • Ryoo, Han-Jin (Dept.of Industry System Information Engineering, Korea University) ;
  • Yoo, Hun-Woo (Dept.of Industry System Information Engineering, Korea University) ;
  • Jang, Dong-Sik (Dept.of Industry System Information Engineering, Korea University) ;
  • Kim, Mun-Hwa
  • 류한진 (고려대학교 산업시스템정보공학과) ;
  • 유헌우 (고려대학교 산업시스템정보공학과) ;
  • 장동식 (고려대학교 산업시스템정보공학과) ;
  • 김문화 (고려대학교 정보통신기술연구소)
  • Published : 2002.03.01

Abstract

A new algorithm for gradual scene change detection in MPEG based frame sequences is proposed in this paper. The proposed algorithm is based on the fact that most of gradual curves can be characterized by variance distributions of edge information in the frame sequences. Average edge frame sequences are obtained by performing "sober" edge detection. Features are extracted by comparing variances with those of local blocks in the average edge frames. Those features are further processed by the opening operation to obtain smoothing variance curves. The lowest variance in the local frame sequences is chosen as a gradual detection point. Experimental results show that the proposed method provides 85% precision and 86% recall rate fur gradual scene changes.

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