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Movie Event Detection by Using AudioVisual Information

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2195))

Abstract

This work focuses on the detection of events including 2-speaker dialog scene, ni ultiple-speaker dialog went! and hybrid scene from the daily movies, Specifically, we employ the visual information to detect all possible shot sinks by using a new method called a window-based sweep algorithm, then all detected shot sinks we categorized into 3 classes using the well-known K-means algorithm, which forms the basis of our proposed event-detection scheme. furthermore, the accompanying audio cue will also be utilized for achieving more meaningful results. Our preliminary experimental results show that by integrating audiovisual information, meaningful events could be successfully detected and extracted.

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References

  1. T. S. Mahmood and S. Srinivasan, “Detecting topical events in digital video.” Proc. of ACM Multimedia 2000, pp. 85–94. Marina Del Rey. November 2000.

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© 2001 Springer-Verlag Berlin Heidelberg

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Li, Y., Kno, C.C.J. (2001). Movie Event Detection by Using AudioVisual Information. In: Shum, HY., Liao, M., Chang, SF. (eds) Advances in Multimedia Information Processing — PCM 2001. PCM 2001. Lecture Notes in Computer Science, vol 2195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45453-5_26

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  • DOI: https://doi.org/10.1007/3-540-45453-5_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42680-6

  • Online ISBN: 978-3-540-45453-3

  • eBook Packages: Springer Book Archive

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