University of Paris 6 at TRECVID 2005: High-Level Feature Extraction - Archive ouverte HAL
Communication Dans Un Congrès Année : 2005

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

Christophe Marsala
Machine Learning and Information Retrieval
CV
Marcin Detyniecki
Machine Learning and Information Retrieval

Résumé

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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Informatique [cs]

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https://hal.science/hal-01490882

Soumis le : jeudi 16 mars 2017-10:29:12

Dernière modification le : mercredi 24 mai 2023-12:27:16

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Dates et versions

hal-01490882 , version 1 (16-03-2017)

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  • HAL Id : hal-01490882 , version 1

Citer

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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