Multi-modal extraction of highlights from TV formula 1 programs


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Petkovic, M. and Mihajlovic, V. and Jonker, W. and Djordjevic-Kajan, S. (2002) Multi-modal extraction of highlights from TV formula 1 programs. In: IEEE International Conference on Multimedia and Expo, ICME '02, August 26-29, 2002, Lausanne, Switzerland.

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Abstract:As amounts of publicly available video data grow, the need to automatically infer semantics from raw video data becomes significant. In this paper, we focus on the use of dynamic Bayesian networks (DBN) for that purpose, and demonstrate how they can be effectively applied for fusing the evidence obtained from different media information sources. The approach is validated in the particular domain of Formula I race videos. For that specific domain we introduce a robust audiovisual feature extraction scheme and a text recognition and detection method. Based on numerous experiments performed with DBN, we give some recommendations with respect to the modeling of temporal and atemporal dependences within the network. Finally, we present the experimental results for the detection of excited speech and the extraction of highlights, as well as the advantageous query capabilities of our system.
Item Type:Conference or Workshop Item
Copyright:©2002 IEEE
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/38263
Official URL:http://dx.doi.org/10.1109/ICME.2002.1035907
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