@inproceedings{86ffc119dca74e2b944f6c41366e8ca2,
title = "Ontology based image retrieval",
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, Image Understanding, Ontology, Semantic Image, Semantic Retrieval",
author = "Umar Manzoor and Naveed Ejaz and Nadeem Akhtar and Muhammad Umar and Khan, {M. Shoaib} and Hafsa Umar",
year = "2012",
month = dec,
day = "30",
language = "English",
isbn = "9781908320087",
series = "2012 International Conference for Internet Technology and Secured Transactions, ICITST 2012",
pages = "288--293",
booktitle = "Proceedings of 2012 International Conference for Internet Technology and Secured Transactions, ICITST 2012",
note = "7th International Conference for Internet Technology and Secured Transactions, ICITST 2012 ; Conference date: 10-12-2012 Through 12-12-2012",
}