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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 > 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: 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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