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Event detection based on generic characteristics of field-sports

Sadlier, David A. and O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 (2005) Event detection based on generic characteristics of field-sports. In: ICME 2005 - Proceedings of the IEEE International Conference on Multimedia and Expo, 6-8 July 2005, Amsterdam, The Netherlands.

Abstract
In this paper, we propose a generic 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 generic 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 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.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:content-based retrieval; digital video broadcasting; statistical analysis; support vector machines; video retrieval; video signal processing;
Subjects:Engineering > Signal processing
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/ICME.2005.1521534
Copyright Information:Copyright © 2005 IEEE. Reprinted from ICME 2005 - Proceedings of the IEEE International Conference on Multimedia and Expo. 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.
ID Code:239
Deposited On:06 Mar 2008 by DORAS Administrator . Last Modified 09 Nov 2018 09:39
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