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Reseach Article

Image Annotations using Machine Learning and Features of ID3 Algorithm

by D.V.N Harish, Y. Srinivas, K.N.V.S.S.K Rajesh, P. Anuradha
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 25 - Number 5
Year of Publication: 2011
Authors: D.V.N Harish, Y. Srinivas, K.N.V.S.S.K Rajesh, P. Anuradha
10.5120/3024-4090

D.V.N Harish, Y. Srinivas, K.N.V.S.S.K Rajesh, P. Anuradha . Image Annotations using Machine Learning and Features of ID3 Algorithm. International Journal of Computer Applications. 25, 5 ( July 2011), 45-49. DOI=10.5120/3024-4090

@article{ 10.5120/3024-4090,
author = { D.V.N Harish, Y. Srinivas, K.N.V.S.S.K Rajesh, P. Anuradha },
title = { Image Annotations using Machine Learning and Features of ID3 Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 25 },
number = { 5 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 45-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume25/number5/3024-4090/ },
doi = { 10.5120/3024-4090 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:11:00.816071+05:30
%A D.V.N Harish
%A Y. Srinivas
%A K.N.V.S.S.K Rajesh
%A P. Anuradha
%T Image Annotations using Machine Learning and Features of ID3 Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 25
%N 5
%P 45-49
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the rapid technological growth, availability of digital images in world wide web has increased , since the data levels available in these databases is also increasing enormously, it is very difficult to recognize or retrieve a image of interest instantaneously. Many methodologies have been proposed but still a lot of new technologies are to be proposed in order to retrieve the images of interest basing on the pattern or feature at low cost and with minimum time period. The main disadvantages of the existing methods present in the literature is, the retrieval of images are done with mapping of images using one to one mapping strategy, this method is time consuming ,hence to overcome this disadvantage an attempt is made in this paper . This paper focuses on extracting the image if interest across the web in an efficient manner with the pattern and behavior as the key elements.

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Index Terms

Computer Science
Information Sciences

Keywords

ID3 Image Annotations Feature set Image segmentation K-Means algorithm