Publication:
H.264 encoding of videos with large number of shot transitions using long-term reference pictures

dc.contributor.coauthorÖzbek, Nükhet
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.kuauthorTekalp, Ahmet Murat
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-11-09T23:30:18Z
dc.date.issued2006
dc.description.abstractLong-term reference prediction is an important feature of the H.264/AVC standard, which provides a trade-off between gain and complexity. A simple long-term reference selection method is presented for videos with frequent shot/view transitions in order to optimize compression efficiency at the shot boundaries. Experimental results show up to 50% reduction in the number of bits, at the same PSNR, for frames at the border of transitions.
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.identifier.issn2219-5491
dc.identifier.linkhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84862621030&partnerID=40&md5=0deef474b4a931f164c194f25082ea71
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-84862621030
dc.identifier.urihttps://IEEExplore.IEEE.org/stamp/stamp.jsp?tp=&arnumber=7071401
dc.identifier.urihttps://hdl.handle.net/20.500.14288/12210
dc.keywordsCompression efficiency
dc.keywordsH.264/AVC standards
dc.keywordsNumber of shots
dc.keywordsSelection methods
dc.keywordsShot boundary
dc.keywordsImage compression
dc.keywordsMotion Picture Experts Group standards
dc.keywordsSignal processing
dc.language.isoeng
dc.publisherEuropean Association for Signal Processing
dc.relation.ispartofEuropean Signal Processing Conference
dc.subjectEngineering
dc.titleH.264 encoding of videos with large number of shot transitions using long-term reference pictures
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorTekalp, Ahmet Murat
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Electrical and Electronics Engineering
relation.isOrgUnitOfPublication21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isParentOrgUnitOfPublication8e756b23-2d4a-4ce8-b1b3-62c794a8c164
relation.isParentOrgUnitOfPublication.latestForDiscovery8e756b23-2d4a-4ce8-b1b3-62c794a8c164

Files