DocumentCode
599428
Title
Ontology based image retrieval
Author
Manzoor, Umar ; Ejaz, Naveed ; Akhtar, Naheed ; Umar, Muhammad ; Khan, M.S. ; Umar, H.
Author_Institution
Dept. of Comput. Sci., Nat. Univ. of Comput. & Emerging Sci., Islamabad, Pakistan
fYear
2012
fDate
10-12 Dec. 2012
Firstpage
288
Lastpage
293
Abstract
Image processing is one of the hottest research field and researchers from the last decade have proposed many efficient approaches for image analysis and retrieval. Semantic technologies like ontology offers promising approach to image retrieval as it tries to map the low level image features to high level ontology concepts. In this paper, we have proposed Ontology based Image Retrieval (OIR) system, which uses domain specific ontology for image retrieval relevant to the user query. The user can give concept / keyword as text input or can input the image itself. Mammals domain is chosen as a test case and its ontology is developed. The OIR system is trained on Mammals dataset and tested on large number of test cases related to this domain. Experimental results show the efficiency and accuracy of the proposed system.
Keywords
image retrieval; ontologies (artificial intelligence); Mammals dataset; OIR; image analysis; image processing; ontology based image retrieval; ontology concepts; user query; Knowledge based systems; Semantics;
fLanguage
English
Publisher
ieee
Conference_Titel
Internet Technology And Secured Transactions, 2012 International Conference for
Conference_Location
London
Print_ISBN
978-1-4673-5325-0
Type
conf
Filename
6470961
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