Abstract
According to drawbacks of available algorithms,a new hierarchical and multiresolution approach to the detection and classification of scene breaks in video sequences is presented in this paper. This method gives a unified framework for different shots by using the multi-resolution analysis as mainstay. Firstly, the video clips are cut by FCM clustering method, then the fade and dissolve are detected using ECR and SCD algorithm in the high components and the low components respectively by integer-to-integer wavelet transform. Finally, according to the cut and the former detection of gradual changes, we use motion vectors in high-components of 3D-WT to detect the wipe transition. Experimental results with real video clips about 7h demonstrate that our method can detect and classify a variety of scene breaks, including cuts, fades and dissolves, even in sequences involving significant motions and flash.
This work was supported by National Natural Science Foundation of China (No.60202004) and the Key Project of Chinese Ministry of Education (No.104173).
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Han, B., Gao, X., Ji, H. (2005). A Unified Framework for Shot Boundary Detection. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596448_148
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DOI: https://doi.org/10.1007/11596448_148
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30818-8
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