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INRIA@TRECVID'2011: Copy Detection & Multimedia Event Detection

Mohamed Ayari 1 Jonathan Delhumeau 2 Matthijs Douze 1, 3 Hervé Jégou 2 Danila Potapov 1 Jérôme Revaud 1 Cordelia Schmid 1 Jiangbo Yuan 2
1 LEAR - Learning and recognition in vision
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
2 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : In this paper we present the results of our participation to the Trecvid tasks Copy Detection and Multimedia Event Detection. It focus, in particular, on the comparison of systems for the copy detection task, by analyzing the importance of 1) the audio module, 2) the video module and of 3) the fusion module.
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Submitted on : Sunday, December 4, 2011 - 8:51:07 PM
Last modification on : Thursday, January 20, 2022 - 5:30:15 PM
Long-term archiving on: : Friday, November 16, 2012 - 2:15:31 PM


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  • HAL Id : hal-00648016, version 1


Mohamed Ayari, Jonathan Delhumeau, Matthijs Douze, Hervé Jégou, Danila Potapov, et al.. INRIA@TRECVID'2011: Copy Detection & Multimedia Event Detection. TRECVID, Dec 2011, Gaithersburg, United States. ⟨hal-00648016⟩



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