Gradual shot boundary detection using localized edge blocks

Authors:
Hun-Woo Yoo;Han-Jin Ryoo;Dong-Sik Jang
Affiliations:
Center for Cognitive Science, Yonsei University, Seoul, South Korea 120---749;Department of Electronics and Computer Engineering, Korea University, Seoul, South Korea 136---701;Department of Industrial Systems and Information Engineering, Korea University, Seoul, South Korea 136---701
Venue:
Multimedia Tools and Applications
Year:
2006

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Abstract

A new algorithm for gradual shot boundary detection is proposed in this paper. The proposed algorithm is based on the fact that most of gradual curves can be characterized by variance distribution of edge information in the frame sequences. Average edge frame sequence is obtained by performing Sobel edge detection. Features are extracted by comparing variance 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 sequence is chosen as a gradual detection point. Experimental results show that the proposed method provides 87.0% precision and 86.3% recall rates for six selected videos.