DocumentCode :
3583771
Title :
Multi-modal extraction of highlights from TV Formula 1 programs
Author :
Petkovic, Milan ; Mihajlovic, Vojkan ; Jonker, Willem ; Djordjevic-Kajan, S.
Author_Institution :
Dept. of Comput. Sci., Twente Univ., Enschede, Netherlands
Volume :
1
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
817
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.
Keywords :
belief networks; content-based retrieval; feature extraction; multimedia databases; speaker recognition; sport; television production; text analysis; video databases; DBN; Formula 1 programs; TV highlights; atemporal dependences; automatic semantics inference; dynamic Bayesian networks; excited speech detection; multimodal extraction; query capabilities; raw video data; robust audiovisual feature extraction; temporal dependences modeling; text detection; text recognition; Bayesian methods; Cepstral analysis; Computer science; Data mining; Event detection; Feature extraction; Robustness; Speech; TV; Text recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference on
Print_ISBN :
0-7803-7304-9
Type :
conf
DOI :
10.1109/ICME.2002.1035907
Filename :
1035907
Link To Document :
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