Deep networks for audio event classification in soccer videos

Authors:
Lamberto Ballan;Alessio Bazzica;Marco Bertini;Alberto Del Bimbo;Giuseppe Serra
Affiliations:
Media Integration and Communication Center, University of Florence, Italy;Media Integration and Communication Center, University of Florence, Italy;Media Integration and Communication Center, University of Florence, Italy;Media Integration and Communication Center, University of Florence, Italy;Media Integration and Communication Center, University of Florence, Italy
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

Citing 10
Cited 0

MPEG-7 Audio and Beyond: Audio Content Indexing and Retrieval

MPEG-7 Audio and Beyond: Audio Content Indexing and Retrieval
Neural Network Based Framework For Goal Event Detection In Soccer Videos

ISM '05 Proceedings of the Seventh IEEE International Symposium on Multimedia
A fast learning algorithm for deep belief nets

Neural Computation
An empirical evaluation of deep architectures on problems with many factors of variation

Proceedings of the 24th international conference on Machine learning
Audio keywords generation for sports video analysis

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Deep networks for image retrieval on large-scale databases

MM '08 Proceedings of the 16th ACM international conference on Multimedia
Adaptive extraction of highlights from a sport video based on excitement modeling

IEEE Transactions on Multimedia
An enhanced video summarization system using audio features for a personal video recorder

IEEE Transactions on Consumer Electronics
Real-time highlight detection in baseball video for TVs with time-shift function

IEEE Transactions on Consumer Electronics
Event detection in field sports video using audio-visual features and a support vector Machine

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

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.