A Semantic Approach to Text-based Image Retrieval Using a Lexical Ontology
This research proposed a novel semantic approach to text-based image retrieval based on a lexical ontology called OntoRo. The approach aims to narrow down the semantic gap between visual content and the richness of human semantics by using keywords-based semantic image indexing. The approach prop...
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| 主要作者: | |
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| 格式: | Conference or Workshop Item |
| 語言: | English English |
| 出版: |
2010
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| 主題: | |
| 在線閱讀: | http://eprints.unisza.edu.my/116/1/FH03-FIK-14-00928.pdf http://eprints.unisza.edu.my/116/2/FH03-FIK-14-02044.png http://eprints.unisza.edu.my/116/ |
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| 機構: | Universiti Sultan Zainal Abidin |
| 語言: | English English |
| 總結: | This research proposed a novel semantic approach to text-based image retrieval
based on a lexical ontology called OntoRo. The approach aims to narrow down the
semantic gap between visual content and the richness of human semantics by using
keywords-based semantic image indexing. The approach proposed involves: (a)
semantic image indexing; (b) semantic search; and (c) semantic image visualization.
This paper focuses on the semantic image indexing method and implements semantic
search method as the evaluation process. A new concept of Semantic DNA is
introduced as an indexing method which will help to retrieve semantic results. The
Semantic DNA is extracted from the existing ontological structure of OntoRo. It is the
key element in this approach which will be used throughout the whole research. |
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