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Comparative Evaluation of Image Retrieval Algorithms using Relevance Feedback and it’s Applications

by Latika Pinjarkar, Kamal Mehta, Manisha Sharma, Kamal Mehta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 18
Year of Publication: 2012
Authors: Latika Pinjarkar, Kamal Mehta, Manisha Sharma, Kamal Mehta
10.5120/7447-0448

Latika Pinjarkar, Kamal Mehta, Manisha Sharma, Kamal Mehta . Comparative Evaluation of Image Retrieval Algorithms using Relevance Feedback and it’s Applications. International Journal of Computer Applications. 48, 18 ( June 2012), 12-16. DOI=10.5120/7447-0448

@article{ 10.5120/7447-0448,
author = { Latika Pinjarkar, Kamal Mehta, Manisha Sharma, Kamal Mehta },
title = { Comparative Evaluation of Image Retrieval Algorithms using Relevance Feedback and it’s Applications },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 18 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 12-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number18/7447-0448/ },
doi = { 10.5120/7447-0448 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:44:24.529640+05:30
%A Latika Pinjarkar
%A Kamal Mehta
%A Manisha Sharma
%A Kamal Mehta
%T Comparative Evaluation of Image Retrieval Algorithms using Relevance Feedback and it’s Applications
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 18
%P 12-16
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Now adays, content-based image retrieval (CBIR) is the mainstay of image retrieval systems. To be more profitable, Relevance Feedback (RF) techniques were incorporated into CBIR such that more precise results can be obtained by taking user's feedbacks into account. In this paper Content Based Image Retrieval algorithms using Relevance Feedback technique are discussed. The comparative study of these algorithms is done. This article covers various techniques for implementing Content Based Image Retrieval algorithms , their evaluation parameters used and various possible applications of Content Based Image Retrieval algorithms

References
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Index Terms

Computer Science
Information Sciences

Keywords

Content-based Image Retrieval Relevance Feedback Precision Convergence

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