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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6839))

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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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© 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

  • eBook Packages: Computer ScienceComputer Science (R0)

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