High-level feature detection with forests of fuzzy decision trees combined with the RankBoost algorithm

2007 TREC Video Retrieval Evaluation Notebook Papers

Volumn , Issue , 2007, Pages

  Marsala, Christophe ^a   Detyniecki, Marcin ^a   Usunier, Nicolas ^a   Amini, Massih Reza ^a  

^a SORBONNE UNIVERSITÉ   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION;

FUZZY DECISION TREES; HIGH-LEVEL FEATURE EXTRACTIONS; HIGH-LEVEL FEATURES; RANKBOOST; TRECVID;

FORESTRY;

EID: 84905172324     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. C. Marsala. Apprentissage inductif en présence de données imprécises: construction et utilisation d'arbres de décision flous. Thèse de doctorat, Université Pierre et Marie Curie, Paris, France, Janvier 1998. Rapport lip6 no 1998/014.
3. C. Marsala and M. Detyniecki. University of Paris 6 at TRECVID 2005: High-level feature extraction. In TREC Video Retrieval Evaluation Online Proceedings, November 2005. http://www-nlpir.nist.gov/projects/tvpubs/tv.pubs.org.html.
4. C. Marsala and M. Detyniecki. University of Paris 6 at TRECVID 2006: Forests of fuzzy decision trees for high-level feature extraction. In TREC Video Retrieval Evaluation Online Proceedings, November 2006. http://www-nlpir.nist.gov/projects/tvpubs/tv.pubs.org.html.
5. C. Petersohn. Fraunhofer HHI at TRECVID 2004: Shot boundary detection system. Technical report, TREC Video Retrieval Evaluation Online Proceedings, TRECVID, 2004. URL: wwwnlpir. nist.gov/projects/tvpubs/tvpapers04/fraunhofer.pdf.
6. A. F. Smeaton, P. Over, and W. Kraaij. Evaluation campaigns and trecvid. In MIR '06: Proceedings of the 8th ACM International Workshop on Multimedia Information Retrieval, pages 321-330, New York, NY, USA, 2006. ACM Press.