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Reseach Article

Content based Image Retrieval using Gaussian Mixture Model based Subspaces Representation

Published on March 2017 by Jadhav Shweta, Shahane Nitin M
Emerging Trends in Computing
Foundation of Computer Science USA
ETC2016 - Number 3
March 2017
Authors: Jadhav Shweta, Shahane Nitin M
0ca497fa-cea8-45f8-9004-911a9aee19b2

Jadhav Shweta, Shahane Nitin M . Content based Image Retrieval using Gaussian Mixture Model based Subspaces Representation. Emerging Trends in Computing. ETC2016, 3 (March 2017), 28-31.

@article{
author = { Jadhav Shweta, Shahane Nitin M },
title = { Content based Image Retrieval using Gaussian Mixture Model based Subspaces Representation },
journal = { Emerging Trends in Computing },
issue_date = { March 2017 },
volume = { ETC2016 },
number = { 3 },
month = { March },
year = { 2017 },
issn = 0975-8887,
pages = { 28-31 },
numpages = 4,
url = { /proceedings/etc2016/number3/27319-6266/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Emerging Trends in Computing
%A Jadhav Shweta
%A Shahane Nitin M
%T Content based Image Retrieval using Gaussian Mixture Model based Subspaces Representation
%J Emerging Trends in Computing
%@ 0975-8887
%V ETC2016
%N 3
%P 28-31
%D 2017
%I International Journal of Computer Applications
Abstract

Content Based Image Retrieval (CBIR) plays a significant role in case of image processing. Generally, in case of large scale dataset the two problems which are common viz. lower memory cost and higher retrieval accuracy. To solve the problem of the large scale retrieval the mixture of subspaces image representation is used. In this approach the group of the local descriptors of every individual image is used for global image representation. The Principal Component Analysis (PCA) is used for the dimensionality reduction. So that large number of images can be retrieved easily. Accuracy of the proposed system is measured in terms of mean average precision. Through the experiment it shows that the proposed system gives better result than earlier system.

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Index Terms

Computer Science
Information Sciences

Keywords

Content Based Image Retrieval (cbir) Image Retrieval Subspaces.