Data Mining on large Video Recordings
LES AUTEURS : H. BENHADDA, J.L. PATINO, E. CORVEE, F. BREMOND, M. THONNAT
RESUME:
Most video applications fail to capture in an efficient knowledge representation model interactions between subjects themselves and interactions between subjects and contextual objects of the observed scene. In this paper we propose a knowledge modelling format which allows efficient knowledge representation. Furthermore, we show how advanced algorithms of knowledge discovery can be applied following the proposed format.
Mots clé: Tracking, Information, Representation, Behaviour, Clustering.
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BibTeX reference:
@inproceedings{VSST 2007,
title = {Data Mining on large Video Recordings},
author = {H. Benhadda, J.L Patino, E. Corvee, F. Bremond and M. Thonnat},
booktitle = {Veille Strategique Scientifique et Technologique VSST 2007},
month = {21st -25th October },
year = {2007},
address = {Marrakech, Morocco}
}
Dernière mise à jour :
13/07/07
Catherine.Martin@sophia.inria.fr