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AUTEURS ››Quellec G, Lamard M, Cazuguel G, Droueche Z, Cochener B, Roux C
Title ››Recherche en temps réel de séquences vidéo similaires par le contenu
DANS ››Traitement du Signal
PUBLIE EN ››2012
VOLUME ››1-2
PAGES ››83 à 100
TYPE PUBLI ››Article original
LANGUE ››FR
Keywords ››recherche de vidéos par le contenu, traitement en temps réel, ondelettes
RESUME ››A novel Content-Based Video Retrieval (CBVR) framework is presented in this paper: its purpose is to find similar video sub-sequences in videos. By introducing temporal flexibility in the description of video sub-sequences, this framework makes the use of flexible, but slow, distance measures (such as Dynamic Time Warping) optional. As a consequence, real-time retrieval of similar video sub-sequences, among hundreds of thousands of examples, is now possible. The proposed method is adaptive; a fast training procedure is presented. Performances have been successfully assessed on a dataset of 1,707 video clips (> 800,000 sub-sequences). Ultimately, we plan to design a real-time alert (and/or recommendation) generation system for computed-aided video-guided surgery.

INSERM :
Quellec G, Lamard M, Cazuguel G, Droueche Z, Cochener B, Roux C:Recherche en temps réel de séquences vidéo similaires par le contenu.. Traitement du Signal, 2012,1-2,83-100,O,M,FR.]


BibTex :
@article{LaTIM-1623
author = {Quellec G AND Lamard M AND Cazuguel G AND Droueche Z AND Cochener B AND Roux C}
title = {Recherche en temps réel de séquences vidéo similaires par le contenu}
journal = {Traitement du Signal}
year = {2012}
volume = {1-2}
pages = {83 -- 100}
}

Last Updated on Wednesday, 04 February 2009 12:36