VidOnt: a core reference ontology for reasoning over video scenes
The conceptualization of domains depicted in videos is a necessary, but not sufficient requirement for reasoning-based high-level scene interpretation, which requires the formal representation of the timeline structure, the moving regions of interest, and video production standards, facilities, and...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2018-04-01
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| Series: | Journal of Information and Telecommunication |
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| Online Access: | http://dx.doi.org/10.1080/24751839.2018.1437696 |
| _version_ | 1818421020485222400 |
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| author | Leslie F. Sikos |
| author_facet | Leslie F. Sikos |
| author_sort | Leslie F. Sikos |
| collection | DOAJ |
| description | The conceptualization of domains depicted in videos is a necessary, but not sufficient requirement for reasoning-based high-level scene interpretation, which requires the formal representation of the timeline structure, the moving regions of interest, and video production standards, facilities, and procedures as well. Multimedia ontologies, including the very few video ontologies, however, are not exhaustive in terms of concept coverage, redefine terms against Semantic Web best practices, are not aligned with standards, and do not define complex roles and role interdependencies. Because most multimedia ontologies implement only a minimal subset of the mathematical constructors of OWL, and define a TBox and an ABox, but not an RBox, they do not support complex inferencing. This paper describes a formally grounded core reference ontology for video representation, which addresses many of these issues and limitations. |
| first_indexed | 2024-12-14T13:03:43Z |
| format | Article |
| id | doaj.art-9a2bac08089a491daef776cc8104c9a5 |
| institution | Directory Open Access Journal |
| issn | 2475-1839 2475-1847 |
| language | English |
| last_indexed | 2024-12-14T13:03:43Z |
| publishDate | 2018-04-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Information and Telecommunication |
| spelling | doaj.art-9a2bac08089a491daef776cc8104c9a52022-12-21T23:00:22ZengTaylor & Francis GroupJournal of Information and Telecommunication2475-18392475-18472018-04-012219220410.1080/24751839.2018.14376961437696VidOnt: a core reference ontology for reasoning over video scenesLeslie F. Sikos0Flinders UniversityThe conceptualization of domains depicted in videos is a necessary, but not sufficient requirement for reasoning-based high-level scene interpretation, which requires the formal representation of the timeline structure, the moving regions of interest, and video production standards, facilities, and procedures as well. Multimedia ontologies, including the very few video ontologies, however, are not exhaustive in terms of concept coverage, redefine terms against Semantic Web best practices, are not aligned with standards, and do not define complex roles and role interdependencies. Because most multimedia ontologies implement only a minimal subset of the mathematical constructors of OWL, and define a TBox and an ABox, but not an RBox, they do not support complex inferencing. This paper describes a formally grounded core reference ontology for video representation, which addresses many of these issues and limitations.http://dx.doi.org/10.1080/24751839.2018.1437696Video ontologyscene interpretationvideo understandingMPEG-7spatiotemporal annotationcontent-based video retrieval |
| spellingShingle | Leslie F. Sikos VidOnt: a core reference ontology for reasoning over video scenes Journal of Information and Telecommunication Video ontology scene interpretation video understanding MPEG-7 spatiotemporal annotation content-based video retrieval |
| title | VidOnt: a core reference ontology for reasoning over video scenes |
| title_full | VidOnt: a core reference ontology for reasoning over video scenes |
| title_fullStr | VidOnt: a core reference ontology for reasoning over video scenes |
| title_full_unstemmed | VidOnt: a core reference ontology for reasoning over video scenes |
| title_short | VidOnt: a core reference ontology for reasoning over video scenes |
| title_sort | vidont a core reference ontology for reasoning over video scenes |
| topic | Video ontology scene interpretation video understanding MPEG-7 spatiotemporal annotation content-based video retrieval |
| url | http://dx.doi.org/10.1080/24751839.2018.1437696 |
| work_keys_str_mv | AT lesliefsikos vidontacorereferenceontologyforreasoningovervideoscenes |