Relevance feedback for image retrieval in structured multi-feature spaces

  • Authors:
  • Divna Djordjevic;Ebroul Izquierdo

  • Affiliations:
  • Queen Mary University of London, UK;Queen Mary University of London, UK

  • Venue:
  • MobiMedia '06 Proceedings of the 2nd international conference on Mobile multimedia communications
  • Year:
  • 2006

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Abstract

An approach for content-based image retrieval with relevance feedback based on a structured multi-feature space is proposed. It uses a novel kernel for merging multiple feature subspaces into a complementary space. The kernel exploits nature of the data by assigning appropriate weights for each feature set. The weights are dynamically adapted to user preferences in a relevance feedback scenario.