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Content based image retrieval by combining features and query-by-sketch

Pein, Raoul Pascal and Lu, Joan (2006) Content based image retrieval by combining features and query-by-sketch. In: Proceedings of 2006 International Conference on Information & Knowledge Engineering. CSREA Press, Las Vegas, USA, pp. 49-55. ISBN 1-60132-003-5

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    Abstract

    This paper reports an approach to improve content-based image retrieval systems. Most
    current systems are based on a single technique for feature extraction and similarity search.
    Each technique has its advantages and drawbacks concerning the result quality. Usually they
    cover one or two certain features of the image, e.g. histograms or shape information. To
    overcome these restrictions a flexible framework is proposed, capable of combining several
    different features in a single retrieval system. This system allows an administrator to build
    a repository managing different feature vectors. A user searching through this repository
    defines and weights these features according to his needs in the query. It concludes that a
    combined retrieval can be used much more widely than a highly specialized one and the use
    of query-by-sketch or -example combined with semantic information (e.g. keywords) could
    enhance the result quality.

    Item Type: Book Chapter
    Additional Information: Reproduced with kind permission from CSREA and Professor Hamid R. Arabnia.
    Subjects: T Technology > T Technology (General)
    Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Diagnostic Engineering Research Centre
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
    School of Computing and Engineering > Informatics Research Group
    School of Computing and Engineering > Informatics Research Group > Software Engineering Research Group
    School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group
    Related URLs:
    Depositing User: Briony Heyhoe
    Date Deposited: 16 Jan 2009 15:49
    Last Modified: 09 Dec 2010 13:25
    URI: http://eprints.hud.ac.uk/id/eprint/3079

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