Using Information Gain to Improve the ImageCLEF 2006 Collection

Authors:
M. C. Díaz-Galiano;M. Á. García-Cumbreras;M. T. Martín-Valdivia;A. Montejo-Ráez;L. Alfonso Ureña-López
Affiliations:
SINAI Research Group. Computer Science Department. University of Jaén., Spain;SINAI Research Group. Computer Science Department. University of Jaén., Spain;SINAI Research Group. Computer Science Department. University of Jaén., Spain;SINAI Research Group. Computer Science Department. University of Jaén., Spain;SINAI Research Group. Computer Science Department. University of Jaén., Spain
Venue:
Evaluation of Multilingual and Multi-modal Information Retrieval
Year:
2007

Citing 0
Cited 2

University of Jaén at ImageCLEF 2009: medical and photo tasks

CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
Using web sources for improving video categorization

Journal of Intelligent Information Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes the SINAI team's participation in both the ad hoc task and the medical task. For the ad hoc task we use a new Machine Translation system which works with several translators and heuristics. For the medical task, we have processed the set of collections using Information Gain (IG) to identify the best tags that should be considered in the indexing process.