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

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

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 Salammbo software.

Christophe Marsala | Marcin Detyniecki

[1] Shuji Hashimoto,et al. Learning from imperfect data , 2007, Appl. Soft Comput..

[2] B. Bouchon-Meunier,et al. Fuzzy partitioning using mathematical morphology in a learning scheme , 1996, Proceedings of IEEE 5th International Fuzzy Systems.

[3] Christian Petersohn. Fraunhofer HHI at TRECVID 2004: Shot Boundary Detection System , 2004, TRECVID.

[4] C. Marsala,et al. Apprentissage inductif en presence de donnees imprecises : construction et utilisation d'arbres de decision flous , 1998 .