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Transmission rate prediction of VBR motion image using the Kalman filter

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dc.contributor.authorKim, Won-
dc.contributor.authorJang, Hyo-Jong-
dc.contributor.authorKim, Gye-Young-
dc.date.available2019-04-10T11:50:39Z-
dc.date.created2018-04-17-
dc.date.issued2006-
dc.identifier.isbn3540340726-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/34068-
dc.description.abstractWe propose a transmission rate prediction method of video data. The proposed method uses a Kalman filter for predicting transmission rate. It used algorithm to detect shot transition information by high speed in compressed domain in order to grasp precise shot transition of video data and classified into abrupt shot transition type and gradual shot transition type. Classified information is used as factors of Kalman filter and to predict transmission rate of video data. It predicted transmission rate with 96.2 similar to 97.6% in the experiment.-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.relation.isPartOfCOMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2006, PT 2-
dc.titleTransmission rate prediction of VBR motion image using the Kalman filter-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitationICCSA 2006: International Conference on Computational Science and Its Applications, v.3981, pp.106 - 113-
dc.description.journalClass2-
dc.identifier.wosid000237646100012-
dc.identifier.scopusid2-s2.0-33745912238-
dc.citation.conferenceDate2006-05-08-
dc.citation.conferencePlaceGlasgow-
dc.citation.endPage113-
dc.citation.startPage106-
dc.citation.titleICCSA 2006: International Conference on Computational Science and Its Applications-
dc.citation.volume3981-
dc.contributor.affiliatedAuthorKim, Gye-Young-
dc.type.docTypeArticle; Proceedings Paper-
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