A Study on Web Based Image Search by Re-Ranking Techniques

John Bosco.P.¹ , S.K.V. Jayakumar²

¹ Computer Science, Pondicherry University, Puducherry, India.
² Computer Science, Pondicherry University, Puducherry, India.

Correspondence should be addressed to: boscoboss84@gmail.com.

Section:Survey Paper, Product Type: Journal
Vol.5 , Issue.3 , pp.19-26, Jun-2017

Online published on Jun 30, 2017

Copyright © John Bosco.P., S.K.V. Jayakumar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
the continuing growth of online digital photos, video data and image retrieval an active research area. The ever-growing importance of rich visual information in today’s web is evidenced by the popularity of social web image retrieval. I focus primarily on the process of searching and retrieving images using a visual query known as content-based image retrieval our primary aiming is reducing the semantic gap between the low-level visual features and high-level image features. This paper proposed for comprehensive survey In this paper is to focus on the survey of various existing methods and technologies and application along with has been discussed some new clustering techniques, distance metrics methods, also of these various re-ranking methods also addressed.Finally,we have been details discussed ten journals paper.

Key-Words / Index Term :
Re-Ranking, Distance Metrics (DM), TBIR

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