Abstract
In this paper we investigate the retrieval of semantic events that occur in broadcast sports footage. We do so by considering the spatio-temporal behaviour of an object in the footage as being the embodiment of a particular semantic event. Broadcast snooker footage is used as an example of the sports footage for the purpose of this research. The system parses the sports video using the geometry of the content in view and classifies the footage as a particular view type. A colour based particle filter is then employed to robustly track the snooker balls, in the appropriate view, to evoke the semantics of the event. Over the duration of a player shot, the position of the white ball on the snooker table is used to model the high level semantic structure occurring in the footage. Upon collision of the white ball with another coloured ball, a separate track is instantiated allowing for the detection of pots and fouls, providing additional clues to the event in progress.
Work sponsored by Enterprise Ireland Project MUSE-DTV (Machine Understanding of Sports Events for Digital Television), CASMS (Content Aware Sports Media Streaming) and EU-funded project MOUMIR (MOdels for Unified Multimedia Information Retrieval).
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References
Bertini, M., Bimbo, A.D., Nunziati, W.: Semantic annotation for live and posterity logging of video documents. In: Visual Communications and Image Processing (VCIP 2003) (2003)
Kijak, E., Gros, P., Oisel, L.: Temporal structure analysis of broadcast tennis video using hidden markov models. In: SPIE Storage and Retrieval for Media Databases, 289–299 (2003)
Assfalg, J., Bertini, M., Bimbo, A.D., Nunziati, W., Pala, P.: Soccer highlight detecti n and recognition using hmms. In: IEEE International Conference on Multimedia and Expo (2002)
Djeraba, C.: Content-based multimedia indexing and retrieval. IEEE Multimedia 9, 52–60 (2002)
Chang, P., Han, M., Gong, Y.: Extract highlights from baseball game video with hidden markov models. In: Proceedings of the International Conference on Image Processing, ICIP 2002 (2002)
Ekin, A., Tekalp, A.M., Mehrotra, R.: Automatic soccer video analysis and summariz ation. In: International Conference on Electronic Imaging: Storage and Retrieval for Media Databases, 339–350 (2003)
Perez, P., Hue, C., Vermaak, J., Gangnet, M.: Colour based probabilistic tracking. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2350, pp. 661–675. Springer, Heidelberg (2002)
Denman, H., Rea, N., Kokaram, A.C.: Content based analysis for video from snooker broadcasts. Journal of Computer Vision and Image Understanding (CVIU): Special Issue on Video Retrieval and Summarization 92, 141–306 (2003)
Lee, J.J., Kim, J., Kim, J.H.: Data-driven design of hmm topology for on-line handwriting recognition. In: The 7th International Workshop on Frontiers in Handwriting Recognition (2000)
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© 2004 Springer-Verlag Berlin Heidelberg
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Rea, N., Dahyot, R., Kokaram, A. (2004). Semantic Event Detection in Sports Through Motion Understanding. In: Enser, P., Kompatsiaris, Y., O’Connor, N.E., Smeaton, A.F., Smeulders, A.W.M. (eds) Image and Video Retrieval. CIVR 2004. Lecture Notes in Computer Science, vol 3115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27814-6_14
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DOI: https://doi.org/10.1007/978-3-540-27814-6_14
Publisher Name: Springer, Berlin, Heidelberg
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