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OLYVIA : Ontology-based Automatic Video Annotation and Summarization System using Semantic Inference Rules

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dc.contributor.authorPark, Kyung wook-
dc.contributor.authorLee, Jeong ho-
dc.contributor.authorMoon, Young Shik-
dc.contributor.authorPark, Sung han-
dc.contributor.authorLee, Dong ho-
dc.date.accessioned2021-06-23T19:04:51Z-
dc.date.available2021-06-23T19:04:51Z-
dc.date.created2021-02-18-
dc.date.issued2007-10-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/43366-
dc.description.abstractThe need of techniques for automatic video annotation and summarization has been increased because digital videos have been becoming available at an ever-increasing rate. In this paper, we present an automatic video annotation and summarization system which employs the ontologies and semantic inference rules to facilitate the video retrieval. In our work, high -level concepts of shot / group / scene / video level are automatically extracted by applying semantic inference rules to VideoAnnotation ontology and object ontology. Finally, we show the retrieval effectiveness of our approach and discuss the future work.-
dc.language영어-
dc.language.isoen-
dc.publisherIEEE-
dc.titleOLYVIA : Ontology-based Automatic Video Annotation and Summarization System using Semantic Inference Rules-
dc.typeArticle-
dc.contributor.affiliatedAuthorMoon, Young Shik-
dc.identifier.doi10.1109/SKG.2007.112-
dc.identifier.scopusid2-s2.0-50149122197-
dc.identifier.bibliographicCitationThird International Conference on Semantics, Knowledge and Grid, pp.170 - 175-
dc.relation.isPartOfThird International Conference on Semantics, Knowledge and Grid-
dc.citation.titleThird International Conference on Semantics, Knowledge and Grid-
dc.citation.startPage170-
dc.citation.endPage175-
dc.type.rimsART-
dc.description.journalClass3-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/4438529?arnumber=4438529&SID=EBSCO:edseee-
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