¹Institute of Software and Intelligent Technology, Hangzhou Dianzi University, Hangzhou, 310018, China
²Zhejiang Provincial Engineering Center on Media Data Cloud Processing and Analysis, Hangzhou Dianzi University, Hangzhou, 310018, China
³College of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, China

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Abstract—It is very important to detect shot boundary accurately and quickly in a large number of news video data. Therefore, we proposed a new method with dual-detection model. The method is divided into two stages, i.e. predetection and re-detection. In the pre-detection stage, the uneven blocked differences based on the feature of human vision are presented and used in adaptive binary search to detect shot boundaries. In the re-detection round, Speeded Up Robust Features (SURF) method is applied to exclude false detections. The experimental results show that this method can detect abrupt boundaries of news video quickly and accurately.

Index Terms—Shot segmentation, Uneven blocking, Sliding window, Adaptive binary search, SURF.

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Cite: Ming Jiang, Jingcheng Huang, Xingqi Wang, Jingfan Tang, Chunming Wu, "Shot Boundary Detection Method for News Video," Journal of Computers vol. 8, no. 11, pp. 3034-3038, 2013.