Automatic shot-change detection algorithm based on visual rhythm extraction

Authors:
Kwang-Deok Seo;Seong Jun Park;Jin-Soo Kim;Samuel Moon-Ho Song
Affiliations:
Computer and Telecommunications Engineering Division, Yonsei Univ., Gangwon, Korea;School of Electrical and Computer Engineering, Purdue Univ., West Lafayette, IN;Division of Information Communication and Computer Engineering, Hanbat Univ., Daejeon, Korea;School of Mechanical and Aerospace Engineering, Seoul National Univ., Seoul, Korea
Venue:
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Year:
2006

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Abstract

To store and retrieve large-scale video data sets effectively, the process of shot-change detection is an essential step. In this paper, we propose an automatic shot-change detection algorithm based on Visual Rhythm Spectrum. The Visual Rhythm Spectrum contains distinctive patterns or visual features for many different types of video effects. For the improvement of detection speed, the proposed algorithm is executed by using the partial data of digital compressed video. The proposed detection algorithm can be universally applied to various kinds of shot-change categories such as scene-cuts and wipes. It is shown by simulations that the proposed detection algorithm outperforms other existing approaches.