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Event detection in field sports video using audio-visual features and a support vector machine

Sadlier, David A. and O'Connor, Noel E. (2005) Event detection in field sports video using audio-visual features and a support vector machine. IEEE Transactions on Circuits and Systems for Video Technology, 15 (10). pp. 1225-1233. ISSN 1051-8215

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Abstract

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.

Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:audio-visual systems; digital video broadcasting; feature extraction; sport; support vector machines;
Subjects:Computer Science > Multimedia systems
Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Publisher:Institute of Electrical and Electronics Engineers
Official URL:http://dx.doi.org/10.1109/TCSVT.2005.854237
Copyright Information:Copyright © 2005 IEEE. Reprinted from IEEE Transactions on Circuits and Systems for Video Technology. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Dublin City University's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Funders:Enterprise Ireland, Irish Research Council for Science Engineering and Technology, European Commission IST-2000-32795
ID Code:254
Deposited On:07 Mar 2008 by DORAS Administrator. Last Modified 05 May 2010 15:31

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