Content-based image retrieval system for an image gallery search application

Content-based image retrieval is a process framework that applies computer vision techniques for searching and managing large image collections more efficiently. With the growth of large digital image collections triggered by rapid advances in electronic storage capacity and computing power, there i...

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Main Authors: Mai, N. T. L., Ahmad Ridzuan, S. S. B., Omar, Z. B.
格式: Article
語言:English
出版: Institute of Advanced Engineering and Science 2018
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在線閱讀:http://eprints.utm.my/id/eprint/79718/1/SyahmiSyahiran2018_Content-basedImageRetrievalSystem.pdf
http://eprints.utm.my/id/eprint/79718/
http://dx.doi.org/10.11591/ijece.v8i3.pp1903-1912
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spelling my.utm.797182019-01-28T06:37:48Z http://eprints.utm.my/id/eprint/79718/ Content-based image retrieval system for an image gallery search application Mai, N. T. L. Ahmad Ridzuan, S. S. B. Omar, Z. B. TK Electrical engineering. Electronics Nuclear engineering Content-based image retrieval is a process framework that applies computer vision techniques for searching and managing large image collections more efficiently. With the growth of large digital image collections triggered by rapid advances in electronic storage capacity and computing power, there is a growing need for devices and computer systems to support efficient browsing, searching, and retrieval for image collections. Hence, the aim of this project is to develop a content-based image retrieval system that can be implemented in an image gallery desktop application to allow efficient browsing through three different search modes: retrieval by image query, retrieval by facial recognition, and retrieval by text or tags. In this project, the MPEG-7-like Powered Localized Color and Edge Directivity Descriptor is used to extract the feature vectors of the image database and the facial recognition system is built around the Eigenfaces concept. A graphical user interface with the basic functionality of an image gallery application is also developed to implement the three search modes. Results show that the application is able to retrieve and display images in a collection as thumbnail previews with high retrieval accuracy and medium relevance and the computational requirements for subsequent searches were significantly reduced through the incorporation of text-based image retrieval as one of the search modes. All in all, this study introduces a simple and convenient way of offline image searches on desktop computers and provides a stepping stone to future content-based image retrieval systems built for similar purposes. Institute of Advanced Engineering and Science 2018 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/79718/1/SyahmiSyahiran2018_Content-basedImageRetrievalSystem.pdf Mai, N. T. L. and Ahmad Ridzuan, S. S. B. and Omar, Z. B. (2018) Content-based image retrieval system for an image gallery search application. International Journal of Electrical and Computer Engineering, 8 (3). pp. 1903-1912. ISSN 2088-8708 http://dx.doi.org/10.11591/ijece.v8i3.pp1903-1912 DOI:10.11591/ijece.v8i3.pp1903-1912
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mai, N. T. L.
Ahmad Ridzuan, S. S. B.
Omar, Z. B.
Content-based image retrieval system for an image gallery search application
description Content-based image retrieval is a process framework that applies computer vision techniques for searching and managing large image collections more efficiently. With the growth of large digital image collections triggered by rapid advances in electronic storage capacity and computing power, there is a growing need for devices and computer systems to support efficient browsing, searching, and retrieval for image collections. Hence, the aim of this project is to develop a content-based image retrieval system that can be implemented in an image gallery desktop application to allow efficient browsing through three different search modes: retrieval by image query, retrieval by facial recognition, and retrieval by text or tags. In this project, the MPEG-7-like Powered Localized Color and Edge Directivity Descriptor is used to extract the feature vectors of the image database and the facial recognition system is built around the Eigenfaces concept. A graphical user interface with the basic functionality of an image gallery application is also developed to implement the three search modes. Results show that the application is able to retrieve and display images in a collection as thumbnail previews with high retrieval accuracy and medium relevance and the computational requirements for subsequent searches were significantly reduced through the incorporation of text-based image retrieval as one of the search modes. All in all, this study introduces a simple and convenient way of offline image searches on desktop computers and provides a stepping stone to future content-based image retrieval systems built for similar purposes.
format Article
author Mai, N. T. L.
Ahmad Ridzuan, S. S. B.
Omar, Z. B.
author_facet Mai, N. T. L.
Ahmad Ridzuan, S. S. B.
Omar, Z. B.
author_sort Mai, N. T. L.
title Content-based image retrieval system for an image gallery search application
title_short Content-based image retrieval system for an image gallery search application
title_full Content-based image retrieval system for an image gallery search application
title_fullStr Content-based image retrieval system for an image gallery search application
title_full_unstemmed Content-based image retrieval system for an image gallery search application
title_sort content-based image retrieval system for an image gallery search application
publisher Institute of Advanced Engineering and Science
publishDate 2018
url http://eprints.utm.my/id/eprint/79718/1/SyahmiSyahiran2018_Content-basedImageRetrievalSystem.pdf
http://eprints.utm.my/id/eprint/79718/
http://dx.doi.org/10.11591/ijece.v8i3.pp1903-1912
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score 13.250246