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An Extensible Query Language for Content Based Image Retrieval

Pein, Raoul Pascal, Lu, Joan and Renz, Wolfgang (2008) An Extensible Query Language for Content Based Image Retrieval. The Open Information Systems Journal, 3 (17). pp. 81-97. ISSN 1874-1339

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    Abstract

    One of the most important bits of every search engine is the query interface. Complex interfaces may cause users to struggle in learning the handling. An example is the query language SQL. It is really powerful, but usually remains hidden to the common user. On the other hand the usage of current languages for Internet search engines is very simple and straightforward. Even beginners are able to find relevant documents.
    This paper presents a hybrid query language suitable for both image and text retrieval. It is very similar to those of a full text search engine but also includes some extensions required for content based image retrieval. The language is extensible to cover arbitrary feature vectors and handle fuzzy queries.

    Item Type: Article
    Additional Information: © BENTHAM OPEN
    Uncontrolled Keywords: Internet, SQL, content-based retrieval, image retrieval, search enginesInternet, SQL, content based image retrieval, extensible query language, search engine
    Subjects: 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: Raoul Pein
    Date Deposited: 24 May 2010 14:14
    Last Modified: 18 Jul 2012 11:35
    URI: http://eprints.hud.ac.uk/id/eprint/7665

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