UPMC/LIP6 at ImageCLEFannotation 2009: Large scale visual concept detection and annotation

CEUR Workshop Proceedings

Volumn 1175, Issue , 2009, Pages

  Fakeri Tabrizi, Ali ^a   Tollari, Sabrina ^a   Denoyer, Ludovic ^a   Gallinari, Patrick ^a  

^a SORBONNE UNIVERSITÉ   (France)

Author keywords

Cooccurrences analysis; Graph models; Multi class multi label image classification; SVM; Visual concepts

Indexed keywords

COMPUTER VISION; DIGITAL LIBRARIES;

COOCCURRENCES ANALYSIS; GRAPH MODEL; MULTI-LABEL; SVM; VISUAL CONCEPT;

IMAGE CLASSIFICATION;

EID: 84922022119     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Thorsten Joachims. A support vector method for multivariate performance measures. In Proceedings of the International Conference on Machine Learning (ICML), 2005.
2. Stefanie Nowak and Peter Dunker. Visual concept detection and annotation task. In CLEF working notes 2009, 2009.
3. Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Christophe Marsala, Massih-Reza Amini, and Patrick Gallinari. Using visual concepts and fast visual diversity to improve image retrieval. In Evaluating Systems for Multilingual and Multimodal Information Access - 9th Workshop of the Cross-Language Evaluation Forum, 2008.
4. Huang J., Zhou D. and Schlkopf B. Learning from labeled and unlabeled data on a directed graph. In Proceedings of the 22nd International Conference on Machine Learning, 2005.