Techniques for Automatic Video Content Derivation


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Petkovic, M. and Mihajlovic, V. and Jonker, W. (2003) Techniques for Automatic Video Content Derivation. In: International Conference on Image Processing, ICIP 2003, 14-17 Sept. 2003, Barcelona, Spain (pp. pp. 611-614).

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Abstract:In this paper, we focus on the use of three different techniques that support automatic derivation of video content from raw video data, namely, a spatio-temporal rule-based method, hidden Markov models, and dynamic Bayesian networks. These techniques are validated in the particular domain of tennis and Formula 1 race videos. We present the experimental results for the detection of events such as net-playing, rally, service, and forehand stroke among others in the Tennis domain, as well as excited speech, start, fly-out, passing, and highlights in the Formula 1 domain.
Item Type:Conference or Workshop Item
Copyright:©2003 IEEE
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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Link to this item:http://purl.utwente.nl/publications/46872
Official URL:http://dx.doi.org/10.1109/ICIP.2003.1246754
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