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Reseach Article

Image Retrieval using Late Fusion

Published on December 2014 by Trupti S.atre
Innovations and Trends in Computer and Communication Engineering
Foundation of Computer Science USA
ITCCE - Number 4
December 2014
Authors: Trupti S.atre
404ceff4-ff1a-4a76-9f8b-18f3ba229fec

Trupti S.atre . Image Retrieval using Late Fusion. Innovations and Trends in Computer and Communication Engineering. ITCCE, 4 (December 2014), 4-7.

@article{
author = { Trupti S.atre },
title = { Image Retrieval using Late Fusion },
journal = { Innovations and Trends in Computer and Communication Engineering },
issue_date = { December 2014 },
volume = { ITCCE },
number = { 4 },
month = { December },
year = { 2014 },
issn = 0975-8887,
pages = { 4-7 },
numpages = 4,
url = { /proceedings/itcce/number4/19059-2025/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Innovations and Trends in Computer and Communication Engineering
%A Trupti S.atre
%T Image Retrieval using Late Fusion
%J Innovations and Trends in Computer and Communication Engineering
%@ 0975-8887
%V ITCCE
%N 4
%P 4-7
%D 2014
%I International Journal of Computer Applications
Abstract

Multimedia data are used everywhere from huge digital study to the web, multimedia information is used in the professional or personal exercises. Enhancement of multimedia information retrieval can be used both the textual pre-filtering and image re-ranking. The textual and visual techniques are combined and then processes of retrieval are used to develop the multimedia information retrieval system to solve the problem of the semantic gap in the given query. For text based and content based image retrieval, late semantic fusion approaches can also used. The user can also use relevant items that have been found by the system to improve future searches, which is the basis behind logistic regression relevance feedback algorithm is used.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image Retrieval Late Fusion Multimedia Information Retrieval.