Learning query-dependent distance metrics for interactive image retrieval

Junwei Han, Stephen J. McKenna, Ruixuan Wang

    Research output: Chapter in Book/Report/Conference proceedingChapter

    1 Citation (Scopus)

    Abstract

    An approach to target-based image retrieval is described based on on-line rank-based learning. User feedback obtained via interaction with 2D image layouts provides qualitative constraints that are used to adapt distance metrics for retrieval. The user can change the query during a search session in order to speed tip the retrieval process. An empirical comparison of online learning methods including ranking-SVM is reported using both simulated and real users.

    Original languageEnglish
    Title of host publicationComputer Vision Systems
    Subtitle of host publication7th International Conference, ICVS 2009 Liège, Belgium, October 13-15, 2009. Proceedings
    EditorsMario Fritz, Bernt Schiele, Justus H. Piater
    Place of PublicationBerlin
    PublisherSpringer
    Pages374-383
    Number of pages10
    ISBN (Print)9783642046667
    DOIs
    Publication statusPublished - 2009
    Event7th International Conference on Computer Vision Systems - Liege, Belgium
    Duration: 13 Oct 200915 Oct 2009
    http://www.aimontefiore.org/ICVS2009/

    Publication series

    NameLecture notes in computer science
    PublisherSpringer
    Volume5815
    ISSN (Print)0302-9743

    Conference

    Conference7th International Conference on Computer Vision Systems
    Abbreviated titleICVS 2009
    CountryBelgium
    CityLiege
    Period13/10/0915/10/09
    Internet address

    Cite this

    Han, J., McKenna, S. J., & Wang, R. (2009). Learning query-dependent distance metrics for interactive image retrieval. In M. Fritz, B. Schiele, & J. H. Piater (Eds.), Computer Vision Systems: 7th International Conference, ICVS 2009 Liège, Belgium, October 13-15, 2009. Proceedings (pp. 374-383). (Lecture notes in computer science; Vol. 5815). Springer . https://doi.org/10.1007/978-3-642-04667-4_38