University of Paris 6 at TRECVID 2005: High-Level Feature Extraction

Christophe Marsala 1 Marcin Detyniecki 1
1 MALIRE - Machine Learning and Information Retrieval
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : In this paper, we present the methodology we use in the NIST TRECVID'2005 evaluation. We have participated in the High-level Feature Extraction task. Our approach is founded on Fuzzy Decision Trees through the Salammbô software.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01490882
Contributor : Lip6 Publications <>
Submitted on : Thursday, March 16, 2017 - 10:29:12 AM
Last modification on : Thursday, March 21, 2019 - 1:04:01 PM

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  • HAL Id : hal-01490882, version 1

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Christophe Marsala, Marcin Detyniecki. University of Paris 6 at TRECVID 2005: High-Level Feature Extraction. TRECVID 2005 workshop participants notebook papers, Nov 2005, Gaithersburg, MD, United States. ⟨hal-01490882⟩

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