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MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
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Proceedings of the 6th ACM international conference on Image and video retrieval
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CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
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Event detection in sports video based on generative-discriminative models
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Ice hockey shot event modeling with mixture hidden Markov model
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A novel multimedia data mining framework for information extraction of a soccer video stream
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SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A generic approach to classify sports video shots and its application in event detection
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A review of vision-based systems for soccer video analysis
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Ice hockey shooting event modeling with mixture hidden Markov model
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HMM based soccer video event detection using enhanced mid-level semantic
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In this paper, we propose a novel audio-visual feature-based framework for event detection in broadcast video of multiple different field sports. Features indicating significant events are selected and robust detectors built. These features are rooted in characteristics common to all genres of field sports. The evidence gathered by the feature detectors is combined by means of a support vector machine, which infers the occurrence of an event based on a model generated during a training phase. The system is tested generically across multiple genres of field sports including soccer, rugby, hockey, and Gaelic football and the results suggest that high event retrieval and content rejection statistics are achievable.