Detailed Information

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

Rate-distortion optimized layered coding of high dynamic range videos

Full metadata record
DC Field Value Language
dc.contributor.authorLee, Chul-
dc.contributor.authorKim, Chang-Su-
dc.date.accessioned2021-09-06T17:14:15Z-
dc.date.available2021-09-06T17:14:15Z-
dc.date.created2021-06-18-
dc.date.issued2012-08-
dc.identifier.issn1047-3203-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/107804-
dc.description.abstractAn efficient algorithm to compress high dynamic range (HDR) videos into layered bitstreams is proposed in this work. First, we separate an HDR video sequence into a tone-mapped low dynamic range (LDR) sequence and a ratio sequence, which represents ratios between HDR and LDR pixel values. Then, we encode the LDR and ratio sequences to maximize the rate-distortion (R-D) performance by extending the standard H.264/AVC codec. Specifically, we estimate the distortion of the HDR sequence from those of the LDR sequence and the ratio sequence, and then allocate a limited bit budget to the LDR sequence and the ratio sequence efficiently to maximize the qualities of both LDR and HDR sequences. Conventional LDR devices use only the LDR stream, whereas HDR devices reconstruct the HDR video from the LDR and ratio streams. Simulation results show that the proposed algorithm provides significantly better R-D performance than conventional HDR video coding techniques. (C) 2012 Elsevier Inc. All rights reserved.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherACADEMIC PRESS INC ELSEVIER SCIENCE-
dc.subjectBIT ALLOCATION-
dc.subjectCODER-
dc.titleRate-distortion optimized layered coding of high dynamic range videos-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Chang-Su-
dc.identifier.doi10.1016/j.jvcir.2012.05.009-
dc.identifier.scopusid2-s2.0-84862734877-
dc.identifier.wosid000307134900008-
dc.identifier.bibliographicCitationJOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v.23, no.6, pp.908 - 923-
dc.relation.isPartOfJOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION-
dc.citation.titleJOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION-
dc.citation.volume23-
dc.citation.number6-
dc.citation.startPage908-
dc.citation.endPage923-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.subject.keywordPlusBIT ALLOCATION-
dc.subject.keywordPlusCODER-
dc.subject.keywordAuthorHigh dynamic range video-
dc.subject.keywordAuthorVideo coding-
dc.subject.keywordAuthorRate-distortion optimization-
dc.subject.keywordAuthorLayered coding-
dc.subject.keywordAuthorH.264/AVC-
dc.subject.keywordAuthorTone mapping-
dc.subject.keywordAuthorBackward compatibility-
dc.subject.keywordAuthorHuman visual system-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Electrical Engineering > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Kim, Chang su photo

Kim, Chang su
공과대학 (전기전자공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE