Learning priors for super-resolution in video sequence

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dc.contributor.author Peng, Yu en_US
dc.contributor.author Jin, Jesse Sheng en_US
dc.contributor.author Luo, Siwei en_US
dc.contributor.author Xu, Min en_US
dc.contributor.editor NA en_US
dc.date.accessioned 2012-02-02T11:08:00Z
dc.date.available 2012-02-02T11:08:00Z
dc.date.issued 2010 en_US
dc.identifier 2010003133 en_US
dc.identifier.citation Peng Yu et al. 2010, 'Learning priors for super-resolution in video sequence', , ACM, United States, , pp. 163-166. en_US
dc.identifier.issn 978-1-4503-0460-3 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/16245
dc.description.abstract Video becomes a crucial information resource in last decades, because of the rapid development of camera as well as the internet explosion. High-quality video sequences are always desired in lots of fields. Since the bottleneck of data storage and interf en_US
dc.language en_US
dc.publisher ACM en_US
dc.relation.isbasedon http://dx.doi.org/10.1145/1937728.1937767 en_US
dc.title Learning priors for super-resolution in video sequence en_US
dc.parent Proceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10 en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation United States en_US
dc.identifier.startpage 163 en_US
dc.identifier.endpage 166 en_US
dc.cauo.name FEIT.School of Computing and Communications en_US
dc.conference Verified OK en_US
dc.for 080305 en_US
dc.personcode 0000063729 en_US
dc.personcode 0000022523 en_US
dc.personcode 0000026257 en_US
dc.personcode 109684 en_US
dc.percentage 100 en_US
dc.classification.name Multimedia Programming en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom International Conference on Internet Multimedia Computing and Service en_US
dc.date.activity 20101230 en_US
dc.location.activity Harbin, China en_US
dc.description.keywords Cross validation; Data storage; High quality; High resolution; Information resource; Maximum a posteriors; Prior distribution; Rapid development; Shooting conditions; Super-resolution; Video sequences; Weighted cross validation; Internet; Video recording en_US
dc.staffid 109684 en_US


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