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Multimodal Information Retrieval by using Visual and Textual Query

by Ankita Soni, Richa Chouhan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 137 - Number 1
Year of Publication: 2016
Authors: Ankita Soni, Richa Chouhan
10.5120/ijca2016908637

Ankita Soni, Richa Chouhan . Multimodal Information Retrieval by using Visual and Textual Query. International Journal of Computer Applications. 137, 1 ( March 2016), 6-10. DOI=10.5120/ijca2016908637

@article{ 10.5120/ijca2016908637,
author = { Ankita Soni, Richa Chouhan },
title = { Multimodal Information Retrieval by using Visual and Textual Query },
journal = { International Journal of Computer Applications },
issue_date = { March 2016 },
volume = { 137 },
number = { 1 },
month = { March },
year = { 2016 },
issn = { 0975-8887 },
pages = { 6-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume137/number1/24237-2016908637/ },
doi = { 10.5120/ijca2016908637 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:37:09.541014+05:30
%A Ankita Soni
%A Richa Chouhan
%T Multimodal Information Retrieval by using Visual and Textual Query
%J International Journal of Computer Applications
%@ 0975-8887
%V 137
%N 1
%P 6-10
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As the number of internet users are increasing day by day. So amount of data also increases, so fast response is desired by different users. So most of the researchers are working in relevant information retrival. Proposed work has focus on image retrieval by the combination of textual and visual features. In this work annotations of the image are use for the initial filtering of image from the dataset. After first filtration selected images are sent for visual feature base comparison. On the basis of the visual feature combination final ranking of the images are done as per the input query. Results shows that combination of both type of feature give more effective results as compare to single one.

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Index Terms

Computer Science
Information Sciences

Keywords

Digital Image Processing Information Extraction feature extraction Re-ranking.

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