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dc.contributor.authorHe, Zhihai, 1973-
dc.contributor.authorCai, Jianfei
dc.contributor.authorChen, Chang Wen, 1959-
dc.date.issued2002-06
dc.descriptionDOI 10.1109/TCSVT.2002.800313en_US
dc.description.abstractIn this paper, we first develop a rate-distortion (R-D) model for DCT-based video coding incorporating the macroblock (MB) intra refreshing rate. For any given bit rate and intra refreshing rate, this model is capable of estimating the corresponding coding distortion even before a video frame is coded. We then present a theoretical analysis of the picture distortion caused by channel errors and the subsequent inter-frame propagation. Based on this analysis, we develop a statistical model to estimate such channel errors induced distortion for different channel conditions and encoder settings. The proposed analytic model mathematically describes the complex behavior of channel errors in a video coding and transmission system. Unlike other experimental approaches for distortion estimation reported in the literature, this analytic model has very low computational complexity and implementation cost, which are highly desirable in wireless video applications. Simulation results show that this model is able to accurately estimate the channel errors induced distortion with a minimum delay in processing. Based on the proposed source coding R-D model and the analytic channel-distortion estimation, we derive an analytic solution for adaptive intra mode selection and joint source-channel rate control under time-varying wireless channel conditions. Extensive experimental results demonstrate that this scheme significantly improves the end-to-end video quality in wireless video coding and transmission.en_US
dc.identifier.citationIEEE Transactions on Circuits and System for Video Technology, vol. 12:6, pp. 511 - 523, June 2002.en_US
dc.identifier.issn1051-8215
dc.identifier.urihttp://hdl.handle.net/10355/9309
dc.publisherIEEEen_US
dc.relation.ispartofElectrical and Computer Engineering publications (MU)en_US
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. College of Engineering. Department of Electrical and Computer Engineering
dc.source.harvestedMU Video Processing and Communication Laben_US
dc.subjectjoint source-channel codingen_US
dc.subject.lcshRate distortion theoryen_US
dc.subject.lcshDigital videoen_US
dc.subject.lcshCoding theoryen_US
dc.titleJoint Source Channel Rate-Distortion Analysis for Adaptive Mode Selection and Rate Control in Wireless Video Codingen_US
dc.typeArticleen_US


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