Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Intelligent adaptation model based on MPEG-21 framework

Full metadata record
DC FieldValueLanguage
dc.contributor.authorKim S.-
dc.contributor.authorYoon Y.-
dc.date.available2021-02-22T14:32:07Z-
dc.date.issued2009-12-
dc.identifier.issn2159-1520-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/14096-
dc.description.abstractVideo adaptation has been introduction to tailor the same video to different derived user contexts to allow end users with different access network, client device and user profiles to access the same information source. Therefore, there is a need for the increase of automated auditing and intelligent reporting mechanisms for the download digital contents. This paper presents a proposed architecture of an Intelligent Adaptation Model (IAM). The objective of this system investigation into the potential security issues involved in content adaptation, especially video content adaptation, in multimedia intelligent system. For delivery video content we suggest the intelligent adaptation model that uses the digital item description in MPEG-21 multimedia framework. ©2009 IEEE.-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-
dc.titleIntelligent adaptation model based on MPEG-21 framework-
dc.typeArticle-
dc.identifier.doi10.1109/EM-COM.2009.5402971-
dc.identifier.scopusid2-s2.0-77950307495-
dc.identifier.bibliographicCitationProceedings of the 2009 4th International Conference on Embedded and Multimedia Computing, EM-Com 2009, v.2010-FEB-
dc.citation.titleProceedings of the 2009 4th International Conference on Embedded and Multimedia Computing, EM-Com 2009-
dc.citation.volume2010-FEB-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusAccess network-
dc.subject.keywordPlusClient devices-
dc.subject.keywordPlusContent adaptation-
dc.subject.keywordPlusDigital contents-
dc.subject.keywordPlusDigital Item-
dc.subject.keywordPlusEnd users-
dc.subject.keywordPlusInformation sources-
dc.subject.keywordPlusIntelligent adaptation-
dc.subject.keywordPlusMPEG-21-
dc.subject.keywordPlusProposed architectures-
dc.subject.keywordPlusSecurity issues-
dc.subject.keywordPlusSystem investigation-
dc.subject.keywordPlusUser context-
dc.subject.keywordPlusUser profile-
dc.subject.keywordPlusVideo adaptation-
dc.subject.keywordPlusVideo contents-
dc.subject.keywordPlusIntelligent systems-
dc.subject.keywordPlusMotion Picture Experts Group standards-
dc.subject.keywordPlusVisual communication-
dc.subject.keywordPlusComputer graphics-
dc.subject.keywordAuthorCognitive content-
dc.subject.keywordAuthorContent adaptation-
dc.subject.keywordAuthorMPEG-21 DID-
dc.subject.keywordAuthorPersonalized-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/5402971-
Files in This Item
Go to Link
Appears in
Collections
ICT융합공학부 > IT공학전공 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Yoon, Yong Ik photo

Yoon, Yong Ik
공과대학 (인공지능공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE