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Texture as a Pixel Feature for Video Object Segmentation

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dc.contributor.authorAhmed, Rakib
dc.contributor.authorKarmakar, G.C.
dc.contributor.authorDooley, L.S.
dc.date.accessioned2015-12-07T22:13:41Z
dc.date.issued2008
dc.date.updated2015-12-07T07:18:10Z
dc.description.abstractAs texture represents one of the key perceptual attributes of any object, integrating textural information into existing video object segmentation frameworks affords the potential to achieve semantically improved performance. While object segmentation is
dc.identifier.issn0013-5194
dc.identifier.urihttp://hdl.handle.net/1885/17116
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.sourceElectronics Letters
dc.subjectKeywords: Arsenic compounds; Copying; Image coding; Motion compensation; Motion estimation; Pixels; Textures; Textural informations; Video-object segmentation; Object recognition
dc.titleTexture as a Pixel Feature for Video Object Segmentation
dc.typeJournal article
local.bibliographicCitation.issue19
local.bibliographicCitation.lastpage1127
local.bibliographicCitation.startpage1126
local.contributor.affiliationAhmed, Rakib, College of Business and Economics, ANU
local.contributor.affiliationKarmakar, G.C., Monash University
local.contributor.affiliationDooley, L.S., Open University
local.contributor.authoruidAhmed, Rakib, u3262250
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor020501 - Classical and Physical Optics
local.identifier.ariespublicationu3262250xPUB1
local.identifier.citationvolume44
local.identifier.doi10.1049/el:20080407
local.identifier.scopusID2-s2.0-51549112753
local.type.statusPublished Version

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