Combining textual and visual features for image retrieval

  • Authors:
  • J. L. Martínez-Fernández;Julio Villena Román;Ana M. García-Serrano;José Carlos González-Cristóbal

  • Affiliations:
  • Universidad Carlos III de Madrid;Universidad Carlos III de Madrid;Facultad de Informática, Universidad Politécnica de Madrid;DAEDALUS – Data, Decisions and Language, S.A.

  • Venue:
  • CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
  • Year:
  • 2005

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Abstract

This paper presents the approaches used by the MIRACLE team to image retrieval at ImageCLEF 2005. Text-based and content-based techniques have been tested, along with combination of both types of methods to improve image retrieval. The text-based experiments defined this year try to use semantic information sources, like thesaurus with semantic data or text structure. On the other hand, content-based techniques are not part of the main expertise of the MIRACLE team, but multidisciplinary participation in all aspects of information retrieval has been pursued. We rely on a publicly available image retrieval system (GIFT 4) when needed.