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; Serra, Giuseppe. - STAMPA. - (2009), pp. 474-477. (Intervento presentato al convegno 2009 IEEE International Conference on Multimedia and Expo, ICME 2009 tenutosi a New York, NY, usa nel June 28 - July 2, 2009) [10.1109/ICME.2009.5202537].
Deep Networks for Audio Event Classification in Soccer Videos
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.
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