Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/6125
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dc.contributor.authorJubran, Mohammad K.en_US
dc.contributor.authorBansal, Manuen_US
dc.contributor.authorKondi, Lisimachos P.en_US
dc.contributor.authorGrover, Rohanen_US
dc.date.accessioned2020-01-15T07:31:44Z-
dc.date.available2020-01-15T07:31:44Z-
dc.date.issued2009-01-01-
dc.identifier.issn10577149-
dc.identifier.urihttp://hdl.handle.net/20.500.11889/6125-
dc.description.abstractIn this paper, we propose an optimal strategy for the transmission of scalable video over packet-based multiple-input multiple-output (MIMO) systems. The scalable extension of H.264/AVC that provides a combined temporal, quality and spatial scalability is used. For given channel conditions, we develop a method for the estimation of the distortion of the received video and propose different error concealment schemes. We show the accuracy of our distortion estimation algorithm in comparison with simulated wireless video transmission with packet errors. In the proposed MIMO system, we employ orthogonal space-time block codes (O-STBC) that guarantee independent transmission of different symbols within the block code. In the proposed constrained bandwidth allocation framework, we use the estimated end-to-end decoder distortion to optimally select the application layer parameters, i.e., quantization parameter (QP) and group of pictures (GOP) size, and physical layer parameters, i.e., rate-compatible turbo (RCPT) code rate and symbol constellation. Results show the substantial performance gain by using different symbol constellations across the scalable layers as compared to a fixed constellation.en_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Transactions on Image Processingen_US
dc.subjectDistortion estimationen_US
dc.subjectImage processing - Digital techniquesen_US
dc.subjectMotion estimationen_US
dc.subjectImage registrationen_US
dc.subjectMIMO systemsen_US
dc.subjectOptical data processingen_US
dc.subjectVideo compressionen_US
dc.subjectScalable H.264en_US
dc.subjectParallel programming (Computer science)en_US
dc.subjectDigital video - Standardsen_US
dc.subjectWireless videoen_US
dc.subjectWireless communication systemsen_US
dc.subjectDigital videoen_US
dc.subjectDistortion estimation, MIMO systems, optimal bandwidth allocation, Scalable H.264, wireless video.en_US
dc.titleAccurate distortion estimation and optimal bandwidth allocation for scalable H.264 video transmission 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.doi10.1109/TIP.2008.2006600-
dc.identifier.doihttps://api.elsevier.com/content/abstract/scopus_id/58049191304-
dc.identifier.doihttps://api.elsevier.com/content/abstract/scopus_id/58049191304-
dc.identifier.doihttps://api.elsevier.com/content/abstract/scopus_id/58049191304-
dc.identifier.doihttps://api.elsevier.com/content/abstract/scopus_id/58049191304-
dc.identifier.doihttps://api.elsevier.com/content/abstract/scopus_id/58049191304-
dc.identifier.pmid18-
dc.identifier.scopus2-s2.0-58049191304-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/58049191304-
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