A review of content-based image retrieval

G. Rafiee*, S. S. Dlay, W. L. Woo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

27 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2010 7th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2010
PublisherIEEE
Pages775-779
Number of pages5
ISBN (Electronic)9781861353696
ISBN (Print)9781424488582
Publication statusPublished - 20 Sep 2010
Event2010 7th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2010 - Newcastle upon Tyne, United Kingdom
Duration: 21 Jul 201023 Jul 2010

Conference

Conference2010 7th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2010
CountryUnited Kingdom
CityNewcastle upon Tyne
Period21/07/1023/07/10

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