Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/6126
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dc.contributor.authorJubran, Mohammad K.en_US
dc.contributor.authorManu Bansalen_US
dc.contributor.authorKondi, Lismiachos P.en_US
dc.date.accessioned2020-01-15T07:38:47Z-
dc.date.available2020-01-15T07:38:47Z-
dc.date.issued2008-12-01-
dc.identifier.issn15209210-
dc.identifier.urihttp://hdl.handle.net/20.500.11889/6126-
dc.descriptionArticle published in Journal : IEEE Transactions on Multimedia, Vol. 10, No. 8, December 2008en_US
dc.description.abstractWe propose an efficient strategy for the transmission of scalable video over multiple-input multiple-output (MIMO) wireless systems. In this paper, we use the latest scalable H.264 codec (SVC), which provides combined temporal, quality and spatial scalability. At the transmitter, we estimate the decoded video distortion for given channel conditions taking into account the effects of quantization, packet loss and error concealment. The proposed scalable decoder distortion algorithm offers low delay and low complexity. The performance of this method is validated using experimental results. In our proposed system, we use a MIMO system with orthogonal space-time block codes (O-STBC) that provides spatial diversity and guarantees independent transmission of different symbols within the block code. The bandwidth constrained allocation problem considered here is simplified and solved for one O-STBC symbol at a time. Furthermore, we take the advantage of the hierarchical structure of SVC to attain the optimal solution for each group of pictures (GOP) of the video sequence. We incorporate the estimated decoder distortion to optimally select the application layer parameter, i.e., quantization parameter (QP), and physical layer parameters, i.e., channel coding rate and modulation type for wireless video transmissionen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE Transactions on Multimediaen_US
dc.subjectDistortion estimationen_US
dc.subjectOptical data processingen_US
dc.subjectVideo compressionen_US
dc.subjectOptimal bandwidth allocationen_US
dc.subjectScalable H264en_US
dc.subjectComputer storage devicesen_US
dc.subjectScalable video codingen_US
dc.subjectMIMO systemsen_US
dc.subjectWireless communication systemsen_US
dc.subjectDistortion estimation, optimal bandwidth allocation, scalable H264, SVC, wireless MIMO systemsen_US
dc.titleLow-delay low-complexity bandwidth-constrained wireless video transmission using SVC over MIMO Systemsen_US
dc.typeArticleen_US
newfileds.departmentEngineering and Technologyen_US
newfileds.item-access-typebzuen_US
newfileds.thesis-prognoneen_US
newfileds.general-subjectnoneen_US
dc.identifier.doihttps://api.elsevier.com/content/abstract/scopus_id/58049191303-
dc.identifier.doihttps://api.elsevier.com/content/abstract/scopus_id/58049191303-
dc.identifier.doi10.1109/TMM.2008.2007317-
dc.identifier.doihttps://api.elsevier.com/content/abstract/scopus_id/58049191303-
dc.identifier.doihttps://api.elsevier.com/content/abstract/scopus_id/58049191303-
dc.identifier.doihttps://api.elsevier.com/content/abstract/scopus_id/58049191303-
dc.identifier.doihttps://api.elsevier.com/content/abstract/scopus_id/58049191303-
dc.identifier.doihttps://api.elsevier.com/content/abstract/scopus_id/58049191303-
dc.identifier.doihttps://api.elsevier.com/content/abstract/scopus_id/58049191303-
dc.identifier.scopus2-s2.0-58049191303-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/58049191303-
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