Image query expansion using semantic selectional restriction

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

  • 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'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
  • Year:
  • 2009

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Abstract

This paper describes our participation at ImageCLEF 2009. We participated in the photographic retrieval task (ImageCLEFPhoto). Our method is based on cross-media pseudo-relevance feedback. We have enhanced the pseudo-relevance feedback mechanism by using semantic selectional restrictions. We use Terrier for text retrieval and our own simple block-based visual retrieval engine. The results obtained at ImageCLEF 2009 show that our method is robust and promising. However, there is room for improvement on the visual retrieval.