Institutions | About Us | Help | Gaeilge
rian logo


Mark
Go Back
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.; O'Connor, Noel E.; Murphy, Noel; Marlow, Seán
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.
Keyword(s): Signal processing; Digital video; Event Detection; Field sports video; MPEG; Signal Processing; Support vector machine
Publication Date:
2004
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Sadlier, David A., O'Connor, Noel E. ORCID: 0000-0002-4033-9135 <https://orcid.org/0000-0002-4033-9135>, 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.
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/399/1/iwssip_2004_2.pdf
First Indexed: 2009-11-05 02:00:39 Last Updated: 2019-02-09 07:03:46