A New Compressive Video Sensing Framework for Mobile Broadcast

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dc.citation.firstpage197
dc.citation.issueNumber1en_US
dc.citation.journalTitleIEEE Transactions on Broadcastingen_US
dc.citation.lastpage205
dc.citation.volumeNumber59en_US
dc.contributor.authorLi, Chengbo
dc.contributor.authorJiang, Hong
dc.contributor.authorWilford, Paul
dc.contributor.authorZhang, Yin
dc.contributor.authorScheutzow, Mike
dc.date.accessioned2013-04-01T15:32:46Z
dc.date.available2014-04-02T05:10:03Z
dc.date.issued2013-03
dc.description.abstractA new video coding method based on compressive sampling is proposed. In this method, a video is coded using compressive measurements on video cubes. Video reconstruction is performed by minimization of total variation (TV) of the pixelwise discrete cosine transform coefficients along the temporal direction. A new reconstruction algorithm is developed from TVAL3, an efficient TV minimization algorithm based on the alternating minimization and augmented Lagrangian methods. Video coding with this method is inherently scalable, and has applications in mobile broadcast.en_US
dc.embargo.terms1 yearen_US
dc.identifier.citationLi, Chengbo, Jiang, Hong, Wilford, Paul, et al.. "A New Compressive Video Sensing Framework for Mobile Broadcast." <i>IEEE Transactions on Broadcasting,</i> 59, no. 1 (2013) IEEE: 197-205. http://dx.doi.org/10.1109/TBC.2012.2226509.
dc.identifier.doihttp://dx.doi.org/10.1109/TBC.2012.2226509en_US
dc.identifier.urihttps://hdl.handle.net/1911/70876
dc.language.isoengen_US
dc.publisherIEEE
dc.subject.keywordalternating minimizationen_US
dc.subject.keywordaugmented Lagrangian methoden_US
dc.subject.keywordcompressive sensingen_US
dc.subject.keyworddiscrete cosine transform (DCT)en_US
dc.subject.keywordscalable video codingen_US
dc.subject.keywordtotal variation (TV)en_US
dc.subject.keywordvideo codingen_US
dc.titleA New Compressive Video Sensing Framework for Mobile Broadcasten_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
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