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A Review Paper on Multimedia Information Retrieval based on Late Semantic Fusion Approaches

Published on December 2014 by Harsha J. Kolhe, Amitkumar Manekar
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Innovations and Trends in Computer and Communication Engineering
Foundation of Computer Science USA
ITCCE - Number 1
December 2014
Authors: Harsha J. Kolhe, Amitkumar Manekar
d6a32dac-195e-4f2b-9a9c-27b39e0dca9f

Harsha J. Kolhe, Amitkumar Manekar . A Review Paper on Multimedia Information Retrieval based on Late Semantic Fusion Approaches. Innovations and Trends in Computer and Communication Engineering. ITCCE, 1 (December 2014), 5-8.

@article{
author = { Harsha J. Kolhe, Amitkumar Manekar },
title = { A Review Paper on Multimedia Information Retrieval based on Late Semantic Fusion Approaches },
journal = { Innovations and Trends in Computer and Communication Engineering },
issue_date = { December 2014 },
volume = { ITCCE },
number = { 1 },
month = { December },
year = { 2014 },
issn = 0975-8887,
pages = { 5-8 },
numpages = 4,
url = { /proceedings/itcce/number1/19038-2002/ },
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 Harsha J. Kolhe
%A Amitkumar Manekar
%T A Review Paper on Multimedia Information Retrieval based on Late Semantic Fusion Approaches
%J Innovations and Trends in Computer and Communication Engineering
%@ 0975-8887
%V ITCCE
%N 1
%P 5-8
%D 2014
%I International Journal of Computer Applications
Abstract

Multimedia information retrieval combines the images and data. Multimedia information retrieval task show the improvement of using textual pre-filtering combined with an image re-ranking. Multimedia fusion has very interesting field for research in recent times for Information Retrieval(IR)and search in Multimedia Databases or on the Web. There are three developed environment to overcome the semantic gap in a given query. There are several different late fusion algorithms to overcome the semantic gap.

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Index Terms

Computer Science
Information Sciences

Keywords

Content-based Information Retrieval Multimedia Information Fusion Multimedia Retrieval Textual-based Information Retrieval.