Sulaiman, Mohd Suffian and Nordin, Sharifalillah and Jamil, Nursuriati (2015) Enhancing the performance of multi-modality ontology semantic image retrieval using object properties filter. In: 5th International Conference on Computing and Informatics (ICOCI) 2015, 11-13 August 2015, Istanbul, Turkey.

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Abstract

Semantic technology such as ontology provides the possible approach to narrow down the semantic gap issue in image retrieval between low-level visual features and high-level human semantic.The semantic gap occurs when there is a disagreement between the information that is extracted from visual data and the text description.In this paper, we applied ontology to bridge the semantic gap by developing a prototype multi-modality ontology image retrieval with the enhancement of retrieval mechanism by using the object properties filter.The results demonstrated that, based on precision measurement, our proposed approach delivered better results compared to the approach without using object properties filter.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISBN No: 978-967-0910-02-4 Jointly organized by: Universiti Utara Malaysia (UUM) & Istanbul Sabahattin Zaim University (IZU)
Uncontrolled Keywords:	multi-modality ontology, semantic image retrieval, object properties filter, semantic gap
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Computing
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	30 Sep 2015 08:01
Last Modified:	28 Apr 2016 01:11
URI:	https://repo.uum.edu.my/id/eprint/15519

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