Abstract
A video shot segmentation scheme with dual-detection model is proposed. In the pre-detection round, the Uneven Blocked differences are presented and used in Adaptive Binary Search (ABS) to detect shot boundaries. In the re-detection round, the Scale Invariant Feature Transform (SIFT) method is applied to exclude false detections. Experiments show that this algorithm achieves well performances in detecting both abrupt and gradual boundaries.
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References
Boreczky, J.S., Rowe, L.A.: Comparison of Video Shot Boundary Detection Techniques. Proc. of SPIE 2664, 170–179 (1996)
Hanjalic, A.: Shot Boundary Detection: Unraveled and Resolved? IEEE Transaction on Circuits and System for Video Technology 12(2), 90–105 (2002)
Yuan, J.H., Wang, H.Y., Xiao, L., Zheng, W.J., Li, J.M., Lin, F.Z., Zhang, B.: A Formal Study of Shot Boundary Detection. IEEE Transactions on Circuits and Systems for Video Technology 17(2), 168–186 (2007)
Barbu, T.: Novel Automatic Video Cut Detection Technique Using Gabor Filtering. Computers & Electrical Engineering 35(5), 712–721 (2009)
Qian, X.M., Liu, G.Z., Su, R.: Effective Fades and Flashlight Detection Based on Accumulating Histogram Difference. IEEE Transactions on Circuits and Systems for Video Technology 16(10), 1245–1258 (2006)
Mikolajczyk, K., Schmid, C.: A Performance Evaluation of Local Descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(10), 1615–1630 (2005)
Smeaton, A.F., Over, P., Kraaij, W.: Evaluation Campaigns and TRECVid. In: Proceedings of the 8th ACM International Workshop on Multimedia Information Retrieval, pp. 321–330. ACM Press, Santa Barbara (2006)
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© 2012 Springer-Verlag Berlin Heidelberg
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Jiang, X., Sun, T., Liu, J., Zhang, W., Chao, J. (2012). An Video Shot Segmentation Scheme Based on Adaptive Binary Searching and SIFT. In: Huang, DS., Gan, Y., Gupta, P., Gromiha, M.M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2011. Lecture Notes in Computer Science(), vol 6839. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25944-9_85
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DOI: https://doi.org/10.1007/978-3-642-25944-9_85
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25943-2
Online ISBN: 978-3-642-25944-9
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