inria-00555825, version 1
INRIA LEAR-TEXMEX: Video copy detection task
Hervé Jégou
a, 1Matthijs Douze
a, 2Guillaume Gravier
b, 3Cordelia Schmid
a, 2Patrick Gros
a, 1
Proc. of the TRECVid 2010 Workshop (2010)
Abstract: In this paper we present the results of our experiments in the Trecvid'10 copy detection task and introduce the components of our system. In particular, we describe the recent approximate nearest neighbor search method we used to index the hundreds millions of audio descriptors. Our system obtained excellent accuracy and localization results, achieving the best performance on a few transformations, and this with a single kind of image descriptor. Moreover, the analysis evidences that our system can be significantly improved.
- a – INRIA
- b – CNRS
- 1: TEXMEX (INRIA - IRISA)
- CNRS : UMR6074 – INRIA – INSA Rennes – Université de Rennes 1
- 2: LEAR (INRIA Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann)
- CNRS : FR71 – CNRS : UMR5527 – INRIA – Laboratoire Jean Kuntzmann – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG)
- 3: METISS (INRIA - IRISA)
- CNRS : UMR6074 – INRIA – INSA Rennes – Université de Rennes 1
- Domain : Computer Science/Signal and Image Processing
Engineering Sciences/Signal and Image processing
- inria-00555825, version 1
- http://hal.inria.fr/inria-00555825
- oai:hal.inria.fr:inria-00555825
- From: Hervé Jégou
- Submitted on: Wednesday, 9 February 2011 11:46:24
- Updated on: Wednesday, 9 February 2011 17:07:56







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