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Content based Image Retrieval using SVM-ID3

by Maneela Jain, Pushpendra Singh Tomar, Manish Shrivastava
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 87 - Number 17
Year of Publication: 2014
Authors: Maneela Jain, Pushpendra Singh Tomar, Manish Shrivastava
10.5120/15303-4074

Maneela Jain, Pushpendra Singh Tomar, Manish Shrivastava . Content based Image Retrieval using SVM-ID3. International Journal of Computer Applications. 87, 17 ( February 2014), 35-42. DOI=10.5120/15303-4074

@article{ 10.5120/15303-4074,
author = { Maneela Jain, Pushpendra Singh Tomar, Manish Shrivastava },
title = { Content based Image Retrieval using SVM-ID3 },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 87 },
number = { 17 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 35-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume87/number17/15303-4074/ },
doi = { 10.5120/15303-4074 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:06:23.010374+05:30
%A Maneela Jain
%A Pushpendra Singh Tomar
%A Manish Shrivastava
%T Content based Image Retrieval using SVM-ID3
%J International Journal of Computer Applications
%@ 0975-8887
%V 87
%N 17
%P 35-42
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Content-based image retrieval (CBIR) systems aim to return the most relevant images in a database, according to the user's opinion for a given query. Due to the dynamic nature of the problem, this may change the meaning of relevance among users for a same query. In this ID3 (Decision Tree) based support vector machine (SVM) method proposed to retrieve several features and shorten the semantic gap between low-level visual feature and high-level perception. The analysis of the proposed work is done using MATLAB 2009a simulator.

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Index Terms

Computer Science
Information Sciences

Keywords

CBIR Decision tree ID3 SVM Semantic gap.

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