Abstract
In this paper, we propose an SVM based shot classification scheme, which categorizes shots of soccer videos into 4 kinds, namely global shots, medium shots, close-up shots and audience shots. The proposed scheme consists in a new adaptive dominant color detection algorithm, as well as a novel feature, the projection histogram. Experiments show that our scheme performs competitively and our new feature is effective.
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References
Ekin, A., Tekalp, A.M.: Shot type classification by dominant color for sports video segmentation and summarization. In: ICASSP, pp. 173–176 (2003)
Ekin, A., Tekalp, A.M.: Automatic Soccer Video Analysis and Summarization. IEEE Transactions on Image Processing, 796–807 (2003)
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© 2008 Springer-Verlag Berlin Heidelberg
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Nan, N., Liu, G., Qian, X., Wang, C. (2008). An SVM-Based Soccer Video Shot Classification Scheme Using Projection Histograms. In: Huang, YM.R., et al. Advances in Multimedia Information Processing - PCM 2008. PCM 2008. Lecture Notes in Computer Science, vol 5353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89796-5_105
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DOI: https://doi.org/10.1007/978-3-540-89796-5_105
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89795-8
Online ISBN: 978-3-540-89796-5
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