A framework for event detection in field-sports video broadcasts based on SVM generated audio-visual feature model. Case-study: soccer video
David A. Sadlier, Noel Edward O'Connor, Noel A. Murphy, Seán Marlow · Dublin City University Open Access Institutional Repository (Dublin City University) · 2004
Abstract- In this paper we propose a novel audio-visual featurebased 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.