Video adaptation model based on cognitive lattice in ubiquitous computing
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim S. | - |
dc.contributor.author | Yoon Y.-I. | - |
dc.date.available | 2021-02-22T14:03:06Z | - |
dc.date.issued | 2010-12 | - |
dc.identifier.issn | 1865-0929 | - |
dc.identifier.uri | https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/13616 | - |
dc.description.abstract | The multimedia service delivery chain poses today many challenges. There are an increasing terminal diversity, network heterogeneity and a pressure to satisfy the user preferences. The situation encourages the need for the personalized contents to provide the user in the best possible experience in ubiquitous computing. This paper introduces a personalized content preparation and delivery framework for multimedia service. The personalized video adaptation is expected to satisfy individual users' need in video content. Cognitive lattice plays a significant role of video annotation to meet users' preference on video content. In this paper, a comprehensive solution for the PVA (Personalized Video Adaptation) is proposed based on Cognitive lattice concept. The PVA is implemented based on MPEG-21 Digital Item Adaptation framework. One of the challenges is how to quantify users' preference on video content. © 2010 Springer-Verlag. | - |
dc.format.extent | 11 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Springer-Verlag | - |
dc.title | Video adaptation model based on cognitive lattice in ubiquitous computing | - |
dc.type | Article | - |
dc.publisher.location | 독일 | - |
dc.identifier.doi | 10.1007/978-3-642-17625-8_2 | - |
dc.identifier.scopusid | 2-s2.0-78650782572 | - |
dc.identifier.bibliographicCitation | Communications in Computer and Information Science, v.121 CCIS, pp 11 - 21 | - |
dc.citation.title | Communications in Computer and Information Science | - |
dc.citation.volume | 121 CCIS | - |
dc.citation.startPage | 11 | - |
dc.citation.endPage | 21 | - |
dc.type.docType | Conference Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Cognitive content | - |
dc.subject.keywordPlus | Content adaptation | - |
dc.subject.keywordPlus | MPEG-21 | - |
dc.subject.keywordPlus | MPEG-21 digital item adaptation | - |
dc.subject.keywordPlus | Network heterogeneity | - |
dc.subject.keywordPlus | Personalized | - |
dc.subject.keywordPlus | Personalized content | - |
dc.subject.keywordPlus | Personalized video | - |
dc.subject.keywordPlus | Service delivery | - |
dc.subject.keywordPlus | Video adaptation | - |
dc.subject.keywordPlus | Video annotations | - |
dc.subject.keywordPlus | Video contents | - |
dc.subject.keywordPlus | Human computer interaction | - |
dc.subject.keywordPlus | Information technology | - |
dc.subject.keywordPlus | Mesh generation | - |
dc.subject.keywordPlus | Motion Picture Experts Group standards | - |
dc.subject.keywordPlus | Multimedia services | - |
dc.subject.keywordPlus | Video recording | - |
dc.subject.keywordPlus | Ubiquitous computing | - |
dc.subject.keywordAuthor | Cognitive content | - |
dc.subject.keywordAuthor | Content Adaptation | - |
dc.subject.keywordAuthor | MPEG-21 | - |
dc.subject.keywordAuthor | Personalized | - |
dc.identifier.url | https://link.springer.com/chapter/10.1007%2F978-3-642-17625-8_2 | - |
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