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To accelerate shot boundary detection by reducing detection region and scope

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Abstract

Video Shot Boundary Detection (SBD) is the fundamental process towards video summarization and retrieval. A fast and efficient SBD algorithm is necessary for real-time video processing applications. Extensive work has focused on accurate shot boundary detection at the expense of demanding computational costs. In this paper, we propose a fast SBD approach that reduces the computation pixel-wise and frame-wise while still giving satisfactory accuracy. The proposed approach substantially speeds up the computation through reducing both detection region and scope. Color histogram and mutual information are used together to measure the difference between frames. Corner distribution of frames is utilized to exclude most of false boundaries. We conduct extensive experiments to evaluate the proposed approach, and the results show that our approach can not only speed up SBD, but also detect shot boundaries with high accuracy in both Cut (CUT) and Gradual Transition (GT) boundaries.

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Acknowledgements

The work reported in this paper is supported by the National Science Foundation for Distinguished Young Scholars of China under Grant No.60925010, the Foundation for Innovative Research Groups of the National Natural Science Foundation of China under Grant No. 61121001, the Program for Changjiang Scholars and Innovative Research Team in University under Grant No. IRT1049, the Co-sponsored Project of Beijing Committee of Education.

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  1. Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Guangyu Gao & Huadong Ma

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  1. Guangyu Gao
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  2. Huadong Ma
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Correspondence to Huadong Ma.

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Gao, G., Ma, H. To accelerate shot boundary detection by reducing detection region and scope. Multimed Tools Appl 71, 1749–1770 (2014). https://doi.org/10.1007/s11042-012-1301-z

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