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A framework for event detection in field-sports video broadcasts based on SVM generated audio-visual feature model. Case-study: soccer video

Sadlier, David A. and O'Connor, Noel E. and Murphy, Noel and Marlow, Seán (2004) A framework for event detection in field-sports video broadcasts based on SVM generated audio-visual feature model. Case-study: soccer video. In: IWSSIP 2004 - International Workshop on Systems, Signals and Image Processing, 13-15 September 2004, Poznan, Poland.

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Abstract

In this paper we propose a novel audio-visual feature-based framework, for event detection in field sports broadcast video. The system is evaluated via a case-study involving MPEG encoded soccer video. Specifically, the evidence gathered by various feature detectors is combined by means of a learning algorithm (a support vector machine), which infers the occurrence of an event, based on a model generated during a training phase, utilizing a corpus of 25 hours of content. The system is evaluated using 25 hours of separate test content. Following an evaluation of results obtained, it is shown for this case, that both high precision and recall statistics are achievable.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:No
Uncontrolled Keywords:Event Detection; Field sports video; MPEG; Signal Processing; Support vector machine;
Subjects:Engineering > Signal processing
Computer Science > Digital video
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:399
Deposited On:01 Apr 2008 by DORAS Administrator. Last Modified 04 Feb 2009 15:58

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