Image retrieval by inter-media fusion and pseudo-relevance feedback

  • Authors:
  • Osama El Demerdash;Leila Kosseim;Sabine Bergler

  • Affiliations:
  • CLaC Laboratory, Department of Computer Science & Software Engineering, Concordia University;CLaC Laboratory, Department of Computer Science & Software Engineering, Concordia University;CLaC Laboratory, Department of Computer Science & Software Engineering, Concordia University

  • Venue:
  • CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
  • Year:
  • 2008

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Abstract

This paper presents our participation at the ImageCLEF Photo 2008 task. We submitted six runs, experimenting with our own block-based visual retrieval as well as with query expansion. The results we obtained show that despite the poor performance of the visual and text retrieval components, better results can be obtained through pseudorelevance feedback and the inter-media fusion of the results.