Detailed Information

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

Enhanced Inter-Mode Decision Based on Contextual Prediction For P-Slice in H.264/AVC Video Coding

Full metadata record
DC FieldValueLanguage
dc.contributor.authorKim, Byung Gyu-
dc.contributor.authorSong, Suk-Kyu-
dc.date.accessioned2022-04-19T11:25:09Z-
dc.date.available2022-04-19T11:25:09Z-
dc.date.issued2006-08-
dc.identifier.issn1225-6463-
dc.identifier.issn2233-7326-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/148569-
dc.description.abstractWe propose a fast macroblock mode prediction and decision algorithm based on contextual information for P-slices in the H.264/AVC video standard, in which the mode prediction part is composed of intra and inter modes. There are nine 4x4 and four 16x16 modes in the intra mode prediction, and seven block types exist for the best coding gain based on rate-distortion optimization. This scheme gives rise to exhaustive computations (search) in the coding procedure. To overcome this problem, a fast inter mode prediction scheme is applied that uses contextual mode information for P-slices. We verify the performance of the proposed scheme through a comparative analysis of experimental results. The suggested mode search procedure increased more than 57% in speed compared to a full mode search and more than 20% compared to the other methods.-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisher한국전자통신연구원-
dc.titleEnhanced Inter-Mode Decision Based on Contextual Prediction For P-Slice in H.264/AVC Video Coding-
dc.title.alternativeEnhanced Inter-Mode Decision Based on Contextual Prediction For P-Slice in H.264/AVC Video Coding-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.4218/etrij.06.0105.0189-
dc.identifier.scopusid2-s2.0-33747183043-
dc.identifier.wosid000239646900002-
dc.identifier.bibliographicCitationETRI Journal, v.28, no.4, pp 425 - 434-
dc.citation.titleETRI Journal-
dc.citation.volume28-
dc.citation.number4-
dc.citation.startPage425-
dc.citation.endPage434-
dc.identifier.kciidART001157160-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.identifier.urlhttps://scholar.kyobobook.co.kr/article/detail/4010022972191-
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 Kim, Byung Gyu photo

Kim, Byung Gyu
공과대학 (인공지능공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE