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dc.contributor.author김정선-
dc.date.accessioned2019-10-17T01:20:42Z-
dc.date.available2019-10-17T01:20:42Z-
dc.date.issued2005-07-
dc.identifier.citationInternational Conference Human Society@Internet; HSI 2005: Web and Communication Technologies and Internet-Related Social Issues, Page. 104-113en_US
dc.identifier.isbn978-3-540-27830-6-
dc.identifier.urihttps://link.springer.com/chapter/10.1007/11527725_12-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/111153-
dc.description.abstractThe need for content-based image retrieval from image databases is ever increasing rapidly in many applications, such as electronic art museums, internet shopping malls, internet search engines, and medical information systems. Many such image resources have been previously developed and widely spread over the internet. In this paper, we propose a Web Service-driven architecture, named the HERMES(tHE Retrieval framework for visual MEdia Service), to support effective retrieval on large volumes of visual media resources. We explain how semantic metadata and ontology can be utilized to realize more intelligent content-based retrieval on visual media data.en_US
dc.language.isoen_USen_US
dc.publisherSPRINGER-VERLAG BERLINen_US
dc.subjectVisual Mediumen_US
dc.subjectService Ontologyen_US
dc.subjectService Registrationen_US
dc.subjectDescription Metadataen_US
dc.subjectMetadata Schemaen_US
dc.titleVisual Media Retrieval Framework using Web Serviceen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/11527725_12-
dc.relation.journalLECTURE NOTES IN COMPUTER SCIENCE-
dc.contributor.googleauthorNah, Yunmook-
dc.contributor.googleauthorLee, Bogju-
dc.contributor.googleauthorKim, Jungsun-
dc.relation.code2007206327-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMPUTING[E]-
dc.sector.departmentDIVISION OF COMPUTER SCIENCE-
dc.identifier.pidkimjs-
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COLLEGE OF COMPUTING[E](소프트웨어융합대학) > COMPUTER SCIENCE(소프트웨어학부) > Articles
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