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Event detection based on generic characteristics of field-sports
Sadlier, David A.; O'Connor, Noel E.
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.
Keyword(s): Signal processing; Digital video; Information retrieval; content-based retrieval; digital video broadcasting; statistical analysis; support vector machines; video retrieval; video signal processing
Publication Date:
2005
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Sadlier, David A. and O'Connor, Noel E. ORCID: 0000-0002-4033-9135 <https://orcid.org/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.
Publisher(s): Institute of Electrical and Electronics Engineers
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/239/1/ieee_icme_2005.pdf,
http://dx.doi.org/10.1109/ICME.2005.1521534
First Indexed: 2009-11-05 02:00:26 Last Updated: 2019-02-09 07:04:51