Highlights' Recognition and Learning in Soccer Video by Using Hidden Markov Models and the Bayesian Theorem

TitreHighlights' Recognition and Learning in Soccer Video by Using Hidden Markov Models and the Bayesian Theorem
Publication TypeConference Paper
Year of Publication2009
AuthorsOuazzani, REl, Thami, ROulad Haj
Conference Name2009 INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS 2009)
ISBN Number978-1-4244-3756-6
Abstract

Our paper presents a new approach for the recognition of highlights in soccer video. Our contribution consists of the combination of Bayesian theorem inferences and Hidden Markov Models (HMMs). We build HMMs to calculate probabilities that a test video segment belongs to highlight and non highlight classes. Then, we apply the Bayesian theorem on the two previous probabilities. Our system has achieved an accuracy of 95.6% which is a good result of highlights detection in comparison with other methods.

DOI10.1109/MMCS.2009.5256682
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