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A flexible image retrieval framework

Pein, Raoul Pascal and Lu, Joan (2007) A flexible image retrieval framework. In: Computational Science – ICCS 2007. Lecture Notes in Computer Science, 4489/2 . Springer, Berlin / Heidelberg, pp. 754-761. ISBN 9783-540725879

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Abstract

This paper discusses a framework for image retrieval. 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.

The proposed framework is designed to be highly flexible, even if performance may suffer. The aim is to give people a platform to implement almost any kind of retrieval issues very quickly, whether it is content based or somehing else. The second advantage of the framework is the possibility to change retrieval characteristics within the program completely. This allows users to configure the ranking process as needed.

Item Type: Book Chapter
Additional Information: The original publication is available at www.springerlink.com
Uncontrolled Keywords: Content-based image retrieval (CBIR), retrieval framework, feature vectors, query image, combined retrieval, improved result quality
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
Related URLs:
Depositing User: Briony Heyhoe
Date Deposited: 26 Jun 2008 14:47
Last Modified: 09 Dec 2010 13:12
URI: http://eprints.hud.ac.uk/id/eprint/908

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