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Ontology to Improve CBIR System

by Ashwini D. Gudewar, Leena R. Ragha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 52 - Number 21
Year of Publication: 2012
Authors: Ashwini D. Gudewar, Leena R. Ragha
10.5120/8335-1897

Ashwini D. Gudewar, Leena R. Ragha . Ontology to Improve CBIR System. International Journal of Computer Applications. 52, 21 ( August 2012), 23-30. DOI=10.5120/8335-1897

@article{ 10.5120/8335-1897,
author = { Ashwini D. Gudewar, Leena R. Ragha },
title = { Ontology to Improve CBIR System },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 21 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 23-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number21/8335-1897/ },
doi = { 10.5120/8335-1897 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:52:51.476623+05:30
%A Ashwini D. Gudewar
%A Leena R. Ragha
%T Ontology to Improve CBIR System
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 21
%P 23-30
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The key problem in achieving efficient and user friendly Content Based Image Retrieval (CBIR), in domain of images is the development of a search mechanism to guarantee delivery of minimal irrelevant information (high precision) while insuring that relevant information is not overlooked (high recall). The current CBIR results need to be improved by indexing images according to semantics rather than objects that appear in the images. This problem of creating a meaning based index structure is solved using a concept based model with domain dependent ontology. The research analysis shows that, CBIR with ontology is still in primitive stage with very few topological relations exploited in the research, and the results still not satisfactory. Thus we propose a system for image retrieval which will use spatial information to build many of the topological relations like connectivity, adjacency, membership and orientation using ontology along with low level color and texture features for CBIR recognition.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Retrieval Content Based Image Retrieval (CBIR) System Ontology Spatial Information Topological Relationship

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