Transmission rate prediction of VBR motion image using the Kalman filter
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Won | - |
dc.contributor.author | Jang, Hyo-Jong | - |
dc.contributor.author | Kim, Gye-Young | - |
dc.date.available | 2019-04-10T11:50:39Z | - |
dc.date.created | 2018-04-17 | - |
dc.date.issued | 2006 | - |
dc.identifier.isbn | 3540340726 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/34068 | - |
dc.description.abstract | We 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.publisher | SPRINGER-VERLAG BERLIN | - |
dc.relation.isPartOf | COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2006, PT 2 | - |
dc.title | Transmission rate prediction of VBR motion image using the Kalman filter | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.identifier.bibliographicCitation | ICCSA 2006: International Conference on Computational Science and Its Applications, v.3981, pp.106 - 113 | - |
dc.description.journalClass | 2 | - |
dc.identifier.wosid | 000237646100012 | - |
dc.identifier.scopusid | 2-s2.0-33745912238 | - |
dc.citation.conferenceDate | 2006-05-08 | - |
dc.citation.conferencePlace | Glasgow | - |
dc.citation.endPage | 113 | - |
dc.citation.startPage | 106 | - |
dc.citation.title | ICCSA 2006: International Conference on Computational Science and Its Applications | - |
dc.citation.volume | 3981 | - |
dc.contributor.affiliatedAuthor | Kim, Gye-Young | - |
dc.type.docType | Article; Proceedings Paper | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Soongsil University Library 369 Sangdo-Ro, Dongjak-Gu, Seoul, Korea (06978)02-820-0733
COPYRIGHT ⓒ SOONGSIL UNIVERSITY, ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.