Visual information retrieval presents many challenges for the computer vision community. The terabytes of visual information stored in digital image and video libraries will remain inaccessible if the problems of indexing and retrieval are not addressed. We present techniques for content based image retrieval using higher level contextual information. The content is represented and queried using attributed relational graphs, with colour attributes and relaxation labelling techniques. We present retrieval examples using both synthetic and real images of national flags. This, although a simplistic problem, highlights the shortcomings and difficulties associated with content based retrieval systems.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Using contextual information for image retrieval


    Contributors:
    Gregory, L. (author) / Kittler, J. (author)


    Publication date :

    2001-01-01


    Size :

    585070 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Using Contextual Information for Image Retrieval

    Gregory, L. / Kittler, J. / IEEE | British Library Conference Proceedings | 2001



    System contextual information manager

    BARBER SARAH | European Patent Office | 2025

    Free access

    SYSTEM CONTEXTUAL INFORMATION MANAGER

    BARBER SARAH | European Patent Office | 2023

    Free access

    Designing contextual information filters

    Paepcke, Andreas / Fafchamps, Danielle / Jeffries, Robin | TIBKAT | 1991