Type

Conference Proceedings

Authors

Seán Marlow
Noel Murphy
Noel E. O'Connor
David A. Sadlier

Subjects

Computer Science

Topics
field study mpeg field based sports field sports video signal processing digital video event detection support vector machine

A framework for event detection in field-sports video broadcasts based on SVM generated audio-visual feature model. Case-study: soccer video (2004)

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.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> Subject = Computer Science
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: Centre for Digital Video Processing (CDVP)
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Engineering: Signal processing
Ireland -> Dublin City University -> Subject = Computer Science: Digital video
Ireland -> Dublin City University -> Subject = Engineering
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres

Full list of authors on original publication

Seán Marlow, Noel Murphy, Noel E. O'Connor, David A. Sadlier

Experts in our system

1
Noel E. O'Connor
Dublin City University
Total Publications: 449