In this work is presented a novel approach for the classification of audio concepts in broadcast soccer videos using deep belief network (DBN), a probabilistic neural network with several hidden layers. Comparison with support vector machine (SVM) classifiers has been carried on, showing that our preliminary results are promisingly comparable to the state-of-the-art.

Deep Networks for Audio Event Classification in Soccer Videos / Lamberto Ballan;Alessio Bazzica;Marco Bertini; Alberto Del Bimbo;Giuseppe Serra. - ELETTRONICO. - (2009), pp. 474-477. (Intervento presentato al convegno IEEE International Conference on Multimedia & Expo (ICME) tenutosi a New York, USA nel June 28-July 3) [10.1109/ICME.2009.5202537].

Deep Networks for Audio Event Classification in Soccer Videos

BALLAN, LAMBERTO;BERTINI, MARCO;DEL BIMBO, ALBERTO;SERRA, GIUSEPPE
2009

Abstract

In this work is presented a novel approach for the classification of audio concepts in broadcast soccer videos using deep belief network (DBN), a probabilistic neural network with several hidden layers. Comparison with support vector machine (SVM) classifiers has been carried on, showing that our preliminary results are promisingly comparable to the state-of-the-art.
2009
Proc. of IEEE International Conference on Multimedia & Expo (ICME)
IEEE International Conference on Multimedia & Expo (ICME)
New York, USA
June 28-July 3
Lamberto Ballan;Alessio Bazzica;Marco Bertini; Alberto Del Bimbo;Giuseppe Serra
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/360561
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