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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Combining TEXT-MESS Systems at ImageCLEF 2008
verfasst von : Sergio Navarro, Miguel Angel García-Cumbreras, Fernando Llopis, Manuel Carlos Díaz-Galiano, Rafael Muñoz, María Teresa Martín-Valdivia, L. Alfonso Ureña-López, Arturo Montejo-Ráez
Erschienen in: Evaluating Systems for Multilingual and Multimodal Information Access
Verlag: Springer Berlin Heidelberg
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This paper describes the joint work of two teams belonging to the TEXT-MESS project. The system presented at ImageCLEFPhoto task combines one module based on filtering and other based on clustering. The main objective was to study the behavior of these methods with a large number of configurations in order to increase our chances of success. The system presented at ImageCLEFmed task uses the IR-n system with a negative query expansion based on the acquisition type of the image mixed with the SINAI system with a MeSH based query expansion.