Abstract
The widespread of smart devices along with the exponential growth of virtual societies yield big digital image databases. These databases can be counter-productive if they are not coupled with efficient Content-Based Image Retrieval (CBIR) tools. The last decade has witnessed the introduction of promising CBIR systems and promoted applications in various fields. In this article, a survey on state of the art content based image retrieval including empirical and theoretical work is proposed. This work also includes publications that cover research aspects relevant to CBIR area. Namely, unsupervised and supervised learning and fusion techniques along with low-level image visual descriptors have been reported. Moreover, challenges and applications that emerged to support CBIR research have been discussed in this work.
Highlights
The importance of digital image databases depends on how friendly and accurately users can retrieve images of interest
Shape attributes such as consecutive boundary segments, circularity, aspect ratio, moment invariant, Fourier descriptors, www.ijacsa.thesai.org eccentricity and orientation have been widely exploited to represent an image in Content-Based Image Retrieval (CBIR) systems [20, 97, 111]
Advanced researches proved that visual descriptors are unable to capture higher level semantic the user is interested in
Summary
Abstract—The widespread of smart devices along with the exponential growth of virtual societies yield big digital image databases. These databases can be counter-productive if they are not coupled with efficient Content-Based Image Retrieval (CBIR) tools. The last decade has witnessed the introduction of promising CBIR systems and promoted applications in various fields. A survey on state of the art content based image retrieval including empirical and theoretical work is proposed. This work includes publications that cover research aspects relevant to CBIR area. Unsupervised and supervised learning and fusion techniques along with lowlevel image visual descriptors have been reported. Challenges and applications that emerged to support CBIR research have been discussed in this work
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Advanced Computer Science and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.