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Refining Image Search through Visual Similarities

by Dipalee N. Gaikwad, Sandeep U. Kadam
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 22
Year of Publication: 2015
Authors: Dipalee N. Gaikwad, Sandeep U. Kadam
10.5120/21834-5095

Dipalee N. Gaikwad, Sandeep U. Kadam . Refining Image Search through Visual Similarities. International Journal of Computer Applications. 121, 22 ( July 2015), 27-31. DOI=10.5120/21834-5095

@article{ 10.5120/21834-5095,
author = { Dipalee N. Gaikwad, Sandeep U. Kadam },
title = { Refining Image Search through Visual Similarities },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 22 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 27-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number22/21834-5095/ },
doi = { 10.5120/21834-5095 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:09:09.335497+05:30
%A Dipalee N. Gaikwad
%A Sandeep U. Kadam
%T Refining Image Search through Visual Similarities
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 22
%P 27-31
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Retrieving the relevant images with respect to user query from a large image database is aim of the image search. So with respect to user query identifying the accurate image is the most challenging task. One of the important feature of multimedia is image retrieval. Some image search query results are satisfactory and some are unsatisfactory. To search over an image databases initially text based search approach is used where query text is matched with surrounding text of image. If surrounding information of an image is irrelevant then the search becomes inefficient. To improve the results of image search visual similarities are used. The similarity is checked between query image and images in the database. Images having higher similarity are retrieved, which makes search accurate.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Retrieval user intension visual similarity co-clicks re-ranking.

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