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Petkovic, M. and Mihajlovic, V. and Jonker, W.
(2003)
Techniques for Automatic Video Content Derivation.
In: Proceedings of the International Conference on Image Processing (ICIP 2003), 14-18 Sep 2003, Barcelona, Spain.
pp. 611-614.
IEEE Conference Proceedings.
IEEE Computer Society.
ISSN 1522-4880
ISBN 0-7803-7750-8
Full text available as:
Official URL: http://dx.doi.org/10.1109/ICIP.2003.1246754 AbstractIn 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.
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