University of Paris 6 at TRECVID 2006: Forest of Fuzzy Decision Trees for High-Level Feature Extraction

Christophe Marsala (1) , Marcin Detyniecki (1)

1 MALIRE - Machine Learning and Information Retrieval

In this paper, we present the methodology we submitted to the NIST TRECVID'2006 evaluation. We participated in the High-level Feature Extraction task. Our approach is based on the use of a Forest of Fuzzy Decision Trees through the Salammbô software.

Domaines: Informatique [cs]

Christophe Marsala, Marcin Detyniecki. University of Paris 6 at TRECVID 2006: Forest of Fuzzy Decision Trees for High-Level Feature Extraction. TREC Video Retrieval Evaluation, 2006, Gaithersburg, United States. ⟨hal-01352022⟩