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A semantic event detection approach for soccer video based on perception concepts and finite state machines

Bai, Liang and Lao, Songyang and Zhang, Weiming and Jones, Gareth J.F. and Smeaton, Alan F. (2007) A semantic event detection approach for soccer video based on perception concepts and finite state machines. In: WIAMIS 2007 - International Workshop on Image Analysis for Multimedia Interactive Services, 6-8 June 2007, Santorini, Greece.

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Abstract

A significant application area for automated video analysis technology is the generation of personalized highlights of sports events. Sports games are always composed of a range of significant events. Automatically detecting these events in a sports video can enable users to interactively select their own highlights. In this paper we propose a semantic event detection approach based on Perception Concepts and Finite State Machines to automatically detect significant events within soccer video. Firstly we define a Perception Concept set for soccer videos based on identifiable feature elements within a soccer video. Secondly we design PC-FSM models to describe semantic events in soccer videos. A particular strength of this approach is that users are able to design their own semantic events and transfer event detection into graph matching. Experimental results based on recorded soccer broadcasts are used to illustrate the potential of this approach.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Subjects: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/WIAMIS.2007.12
Copyright Information:Copyright © 2007 IEEE. Reprinted from WIAMIS 2007 - International Workshop on Image Analysis for Multimedia Interactive 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:442
Deposited On:20 May 2008 by DORAS Administrator. Last Modified 04 Feb 2009 17:40

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