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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: Content-based Image Retrieval Using Supervised and Unsupervised Learning
Authors Name: Shilpa Garud Barkalle , Pritesh Jain
Unique Id: IJSDR1806035
Published In: Volume 3 Issue 6, June-2018
Abstract: The big digital image databases are yielded by the widespread of smart devices along with the exponential growth of virtual societies. If not fused with efficient Content-Based Image Retrieval (CBIR) tools, these databases can be counter-productive. The introduction of promising CBIR systems had been witnessed last decade which promoted applications in various fields. In this editorial, an analysis on state of the art content-based image retrieval which includes theoretical and empirical work, is propounded. This work comprises of publications that cover aspects of research relevant to CBIR area. That is to say, unsupervised and supervised education and combination techniques along with which the low-level image visual descriptors have been reported. Furthermore, challenges and applications that appeared to carry CBIR research have been discussed in this work.
Keywords: Image retrieval; Content-based image retrieval; Supervised learning; Unsupervised learning
Cite Article: "Content-based Image Retrieval Using Supervised and Unsupervised Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 6, page no.208 - 217, June-2018, Available :http://www.ijsdr.org/papers/IJSDR1806035.pdf
Downloads: 000201507
Publication Details: Published Paper ID: IJSDR1806035
Registration ID:180389
Published In: Volume 3 Issue 6, June-2018
DOI (Digital Object Identifier):
Page No: 208 - 217
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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