Title: Event detection in sports video based on audio-visual and support vector machine. Case-study: football
Authors: Vijayan Ellapan; R. Rajkumar
Addresses: School of Information Technology and Engineering, VIT University, Vellore, Tamilnadu, India ' School of Information Technology and Engineering, VIT University, Vellore, Tamilnadu, India
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 football video. Specifically, the features gathered by various feature detectors is combined by means of a support vector machine which infers the occurrence of an event based on a model generated during a training phase, utilising a corpus of 2.5 hours of content. The system is evaluated using 2.5 hours of separate test match content.
Keywords: event detection; field sports video; MPEG; support vector machine.
International Journal of Internet Technology and Secured Transactions, 2019 Vol.9 No.1/2, pp.26 - 36
Received: 13 Jun 2017
Accepted: 17 Jul 2017
Published online: 28 Feb 2019 *