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7305 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: Proceedings of the IEEE International Conference on Multimedia and Expo (ICME 2002), 26-29 Aug 2002, Lausanne, Switzerland. pp. 817-820. IEEE Computer Society. ISBN 0-7803-7304-9

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Official URL: http://dx.doi.org/10.1109/ICME.2002.1035907

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 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:0000003193]
ID Code:7305
Status:Published
Deposited On:05 February 2007
Refereed:Yes
International:Yes
More Information:statistics

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