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7308 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: 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

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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 Paper (Full Paper, Talk)
Research Group:EWI-DB: Databases
Research Program:CTIT-NICE: Natural Interaction in Computer-mediated Environments
Research Project:DMW: Digital Media Warehousing
Additional Information:Imported from EWI/DB PMS [db-utwente:inpr:0000003595]
ID Code:7308
Deposited On:19 December 2006
More Information:statistics

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