Enhancing the performance of multi-modality ontology semantic image retrieval using object properties filter
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...
| Huvudupphovsmän: | , , |
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| Materialtyp: | Conference or Workshop Item |
| Språk: | English |
| Publicerad: |
2015
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| Ämnen: | |
| Länkar: | https://repo.uum.edu.my/id/eprint/15519/1/PID162.pdf |
| _version_ | 1825803549728047104 |
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| author | Sulaiman, Mohd Suffian Nordin, Sharifalillah Jamil, Nursuriati |
| author_facet | Sulaiman, Mohd Suffian Nordin, Sharifalillah Jamil, Nursuriati |
| author_sort | Sulaiman, Mohd Suffian |
| collection | UUM |
| description | 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. |
| first_indexed | 2024-07-04T05:58:56Z |
| format | Conference or Workshop Item |
| id | uum-15519 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:58:56Z |
| publishDate | 2015 |
| record_format | eprints |
| spelling | uum-155192016-04-28T01:11:50Z https://repo.uum.edu.my/id/eprint/15519/ Enhancing the performance of multi-modality ontology semantic image retrieval using object properties filter Sulaiman, Mohd Suffian Nordin, Sharifalillah Jamil, Nursuriati QA75 Electronic computers. Computer science 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. 2015-08-11 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/15519/1/PID162.pdf 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. http://www.icoci.cms.net.my/proceedings/2015/TOC.html |
| spellingShingle | QA75 Electronic computers. Computer science Sulaiman, Mohd Suffian Nordin, Sharifalillah Jamil, Nursuriati Enhancing the performance of multi-modality ontology semantic image retrieval using object properties filter |
| title | Enhancing the performance of multi-modality ontology semantic image retrieval using object properties filter |
| title_full | Enhancing the performance of multi-modality ontology semantic image retrieval using object properties filter |
| title_fullStr | Enhancing the performance of multi-modality ontology semantic image retrieval using object properties filter |
| title_full_unstemmed | Enhancing the performance of multi-modality ontology semantic image retrieval using object properties filter |
| title_short | Enhancing the performance of multi-modality ontology semantic image retrieval using object properties filter |
| title_sort | enhancing the performance of multi modality ontology semantic image retrieval using object properties filter |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/15519/1/PID162.pdf |
| work_keys_str_mv | AT sulaimanmohdsuffian enhancingtheperformanceofmultimodalityontologysemanticimageretrievalusingobjectpropertiesfilter AT nordinsharifalillah enhancingtheperformanceofmultimodalityontologysemanticimageretrievalusingobjectpropertiesfilter AT jamilnursuriati enhancingtheperformanceofmultimodalityontologysemanticimageretrievalusingobjectpropertiesfilter |