Can an intermediary collection help users search image databases without annotations?

Robert Villa, Martin Halvey, Hideo Joho, David Hannah, Joemon M. Jose

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)


    Developing methods for searching image databases is a challenging and ongoing area of research. A common approach is to use manual annotations, although generating annotations can be expensive in terms of time and money, and therefore may not be justified in many situations. Content-based search techniques which extract visual features from image data can be used, but users are typically forced to express their information need using example images, or through sketching interfaces. This can be difficult if no visual example of the information need is available, or when the information need cannot be easily drawn. In this paper, we consider an alternative approach which allows a user to search for images through an intermediate database.

    Original languageEnglish
    Title of host publicationProceedings of the Annual Joint Conference on Digital libraries (JCDL '10)
    PublisherAssociation for Computing Machinery (ACM)
    Number of pages10
    ISBN (Print)9781450300858
    Publication statusPublished - 2010


    • content-based image retrieval
    • search strategies

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