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Multimodal Information Retrieval: Challenges and Future Trends

by Mohammad Ubaidullah Bokhari, Faraz Hasan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 14
Year of Publication: 2013
Authors: Mohammad Ubaidullah Bokhari, Faraz Hasan
10.5120/12951-9967

Mohammad Ubaidullah Bokhari, Faraz Hasan . Multimodal Information Retrieval: Challenges and Future Trends. International Journal of Computer Applications. 74, 14 ( July 2013), 9-12. DOI=10.5120/12951-9967

@article{ 10.5120/12951-9967,
author = { Mohammad Ubaidullah Bokhari, Faraz Hasan },
title = { Multimodal Information Retrieval: Challenges and Future Trends },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 14 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 9-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number14/12951-9967/ },
doi = { 10.5120/12951-9967 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:42:15.480158+05:30
%A Mohammad Ubaidullah Bokhari
%A Faraz Hasan
%T Multimodal Information Retrieval: Challenges and Future Trends
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 14
%P 9-12
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Multimodal information retrieval is a research problem of great interest in all domains, due to the huge collections of multimedia data available in different contexts like text, image, audio and video. Researchers are trying to incorporate multimodal information retrieval using machine learning, support vector machines, neural network and neuroscience etc. to provide an efficient retrieval system that fulfills user need. This paper is an overview of multimodal information retrieval, challenges in the progress of multimodal information retrieval.

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Index Terms

Computer Science
Information Sciences

Keywords

Multi Modal Information Retrieval Information Retrieval Machine Learning SVM Semantic Gap Query Reformulation Fusion Techniques

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