A Bayesian network-based deinterlacing scheme
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jeon, Gwanggil | - |
dc.contributor.author | Choi, Hyojoon | - |
dc.contributor.author | Kim, Donghyung | - |
dc.contributor.author | Lee, Joohyun | - |
dc.contributor.author | Jeong, Jechang | - |
dc.date.accessioned | 2022-10-07T10:41:53Z | - |
dc.date.available | 2022-10-07T10:41:53Z | - |
dc.date.created | 2022-09-16 | - |
dc.date.issued | 2008-01 | - |
dc.identifier.issn | 0747-668X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/172158 | - |
dc.description.abstract | This paper proposes a novel motion adaptive interpolation algorithm for video deinterlacing. We employ a Bayesian network, which provides accurate weightings among common existing deinterlacing methods. It successively builds approximations of the deinterlaced sequence by weighting interpolation methods. The results of computer simulations show that the proposed method outperforms a number of methods in the literature. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | A Bayesian network-based deinterlacing scheme | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jeong, Jechang | - |
dc.identifier.doi | 10.1109/ICCE.2008.4587855 | - |
dc.identifier.scopusid | 2-s2.0-51949101922 | - |
dc.identifier.bibliographicCitation | Digest of Technical Papers - IEEE International Conference on Consumer Electronics, pp.1 - 2 | - |
dc.relation.isPartOf | Digest of Technical Papers - IEEE International Conference on Consumer Electronics | - |
dc.citation.title | Digest of Technical Papers - IEEE International Conference on Consumer Electronics | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 2 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Adaptive algorithms | - |
dc.subject.keywordPlus | Bayesian networks | - |
dc.subject.keywordPlus | Computational methods | - |
dc.subject.keywordPlus | Computer simulation | - |
dc.subject.keywordPlus | Distributed parameter networks | - |
dc.subject.keywordPlus | Electronics industry | - |
dc.subject.keywordPlus | Inference engines | - |
dc.subject.keywordPlus | Intelligent networks | - |
dc.subject.keywordPlus | Interpolation | - |
dc.subject.keywordPlus | Speech analysis | - |
dc.subject.keywordPlus | Bayesian | - |
dc.subject.keywordPlus | Computer simulations | - |
dc.subject.keywordPlus | De-interlacing | - |
dc.subject.keywordPlus | International conferences | - |
dc.subject.keywordPlus | Interpolation algorithms | - |
dc.subject.keywordPlus | Interpolation methods | - |
dc.subject.keywordPlus | Motion adaptive | - |
dc.subject.keywordPlus | Network-based | - |
dc.subject.keywordPlus | Video de-interlacing | - |
dc.subject.keywordPlus | Consumer electronics | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/4587855 | - |
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