Modified one-class support vector machine for content-based image retrieval with relevance feedback

Modified one-class support vector machine for content-based image retrieval with relevance feedback

Image retrieval via traditional Content-Based Image Retrieval (CBIR) often incurs the semantic gap problem—non-correlation of image retrieval results with human semantic interpretation of images. In this paper, Relevance Feedback (RF) mechanism was incorporated into a traditional Query by Visual Exa...

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Bibliographic Details
Main Authors: Oluwole A. Adegbola, David O. Aborisade, Segun I. Popoola, Olatide A. Amole, Aderemi A. Atayero
Format: Article
Language:English
Published: Taylor & Francis Group 2018-01-01
Series:Cogent Engineering
Subjects:
content-based image retrieval
one-class support vector machine
relevance feedback
principal component analysis
visual descriptors
Online Access:http://dx.doi.org/10.1080/23311916.2018.1541702

Internet

http://dx.doi.org/10.1080/23311916.2018.1541702

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