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Gradual shot boundary detection using localized edge blocks

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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.

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Authors and Affiliations

  1. Center for Cognitive Science, Yonsei University, 134 Shinchon-Dong, Seodaemun-Ku, Seoul, 120–749, South Korea

    Hun-Woo Yoo

  2. Department of Electronics and Computer Engineering, Korea University, Sungbuk-gu Anam-Dong 5 Ga 1, Seoul, 136–701, South Korea

    Han-Jin Ryoo

  3. Department of Industrial Systems and Information Engineering, Korea University, Sungbuk-gu Anam-dong 5 Ga 1, Seoul, 136–701, South Korea

    Dong-Sik Jang

Authors
  1. Hun-Woo Yoo
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  2. Han-Jin Ryoo
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  3. Dong-Sik Jang
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Correspondence to Hun-Woo Yoo.

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Yoo, HW., Ryoo, HJ. & Jang, DS. Gradual shot boundary detection using localized edge blocks. Multimed Tools Appl 28, 283–300 (2006). https://doi.org/10.1007/s11042-006-7715-8

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  • DOI: https://doi.org/10.1007/s11042-006-7715-8

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