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dc.contributor.author이동호-
dc.date.accessioned2019-07-02T01:39:55Z-
dc.date.available2019-07-02T01:39:55Z-
dc.date.issued2007-10-
dc.identifier.citationThird International Conference on Semantics, Knowledge and Grid (SKG 2007), Page. 170-175en_US
dc.identifier.isbn0-7695-3007-9-
dc.identifier.urihttps://ieeexplore.ieee.org/document/4438529-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/106980-
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.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.titleOLYVIA : Ontology-based Automatic Video Annotation and Summarization System using Semantic Inference Rulesen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/SKG.2007.112-
dc.contributor.googleauthorPark, K.-W.-
dc.contributor.googleauthorLee, J.-H.-
dc.contributor.googleauthorMoon, Y. S.-
dc.contributor.googleauthorPark, S. H.-
dc.contributor.googleauthorLee, D. H.-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMPUTING[E]-
dc.sector.departmentDIVISION OF COMPUTER SCIENCE-
dc.identifier.piddhlee72-
Appears in Collections:
COLLEGE OF COMPUTING[E](소프트웨어융합대학) > COMPUTER SCIENCE(소프트웨어학부) > Articles
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