2nd International ICST Conference on Mobile Multimedia Communications

Research Article

Relevance feedback for image retrieval in structured multi-feature spaces

  • @INPROCEEDINGS{10.1145/1374296.1374323,
        author={Divna Djordjevic and Ebroul Izquierdo},
        title={Relevance feedback for image retrieval in structured multi-feature spaces},
        proceedings={2nd International ICST Conference on Mobile Multimedia Communications},
        publisher={ACM},
        proceedings_a={MOBIMEDIA},
        year={2006},
        month={9},
        keywords={Multi-fetaure space kernel methods.},
        doi={10.1145/1374296.1374323}
    }
    
  • Divna Djordjevic
    Ebroul Izquierdo
    Year: 2006
    Relevance feedback for image retrieval in structured multi-feature spaces
    MOBIMEDIA
    ACM
    DOI: 10.1145/1374296.1374323
Divna Djordjevic1,*, Ebroul Izquierdo1,*
  • 1: Queen Mary University of London, UK
*Contact email: divna.djordjevic@elec.qmul.ac.uk, ebroul.izquierdo@elec.qmul.ac.uk

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.