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An extensible query language for content based image retrieval based on Lucene

Pein, Raoul Pascal, Lu, Joan and Renz, Wolfgang (2008) An extensible query language for content based image retrieval based on Lucene. In: 2008 8th IEEE International Conference on Computer and Information Technology. IEEE, pp. 179-184. ISBN 9781424423576

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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: Book Chapter
Additional Information: ©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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 > High-Performance Intelligent Computing
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School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
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Depositing User: Briony Heyhoe
Date Deposited: 07 Jan 2009 12:50
Last Modified: 20 Jun 2013 11:59
URI: http://eprints.hud.ac.uk/id/eprint/3013

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