A Framework for Fingerprint-Based Detection of Repeating Objects in Multimedia Streams

Abstract :

We present an original framework for the detection of repeating objects in multimedia streams. This framework is designed so that it can work with any fingerprint model. A fingerprint is extracted for each incoming frame of the multimedia stream. The framework then manages this fingerprint so that if one similar frame comes later in the stream, it will be identified as a repetition. The framework has been tested with two distinct fingerprint models on simulated and ’realworld’ data. The results show that the framework performs well with both presented models and that it is suitable for industrial use-cases.

Type de document :
Communication dans un congrès
EUSIPCO, Aug 2012, Bucharest, Romania. pp.1464-1468, 2012
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https://hal-imt.archives-ouvertes.fr/hal-00731828
Contributeur : Admin Télécom Paristech <>
Soumis le : jeudi 13 septembre 2012 - 15:22:08
Dernière modification le : jeudi 11 janvier 2018 - 06:23:38

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  • HAL Id : hal-00731828, version 1

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Sébastien Fenet, Manuel Moussallam, Yves Grenier, Gaël Richard, Laurent Daudet. A Framework for Fingerprint-Based Detection of Repeating Objects in Multimedia Streams. EUSIPCO, Aug 2012, Bucharest, Romania. pp.1464-1468, 2012. 〈hal-00731828〉

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