Abstract
As bearer of high-level semantics, audio signal is being more and more used in content-based multimedia retrieval. In this paper, we investigate TV tennis game highlight detection based on the use of both short and long term audio features and propose two approaches, decision fusion and hierarchical classifier, in order to combine these two kinds of audio features. As more information is included in decision making, the overall performance of the system is enhanced.
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© 2006 Springer-Verlag Berlin Heidelberg
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Zhang, B., Dou, W., Chen, L. (2006). Combining Short and Long Term Audio Features for TV Sports Highlight Detection. In: Lalmas, M., MacFarlane, A., Rüger, S., Tombros, A., Tsikrika, T., Yavlinsky, A. (eds) Advances in Information Retrieval. ECIR 2006. Lecture Notes in Computer Science, vol 3936. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11735106_44
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DOI: https://doi.org/10.1007/11735106_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33347-0
Online ISBN: 978-3-540-33348-7
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