A review of content-based image retrieval

Rafiee, Gholamreza, Dlay, Satnam and Woo, Wai Lok (2010) A review of content-based image retrieval. In: 2010 7th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2010. IEEE, pp. 775-779. ISBN 978-1-4244-8858-2

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Abstract

A comprehensive survey on patch recognition, which is a crucial part of content-based image retrieval (CBIR), is presented. CBIR can be viewed as a methodology in which three correlated modules including patch sampling, characterizing, and recognizing are employed. This paper aims to evaluate meaningful models for one of the most challenging problems in image understanding, specifically, for the effective and efficient mapping between image visual features and high-level semantic concepts. To achieve this, the latest classification, clustering, and interactive methods have been meticulously discussed. Finally, several recommendations for future research issues have been suggested based on the weaknesses of recent technologies.

Item Type:	Book Section
Uncontrolled Keywords:	Review, content-based image retrieval (CBIR), semantic concept, effective mapping, patch sampling, patch characterizing, patch recognizing
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Becky Skoyles
Date Deposited:	13 May 2019 11:07
Last Modified:	10 Oct 2019 19:01
URI:	http://nrl.northumbria.ac.uk/id/eprint/39283

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