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dc.contributor.authorGurses, E.en_US
dc.contributor.authorAkar G.B.en_US
dc.contributor.authorAkar, N.en_US
dc.date.accessioned2016-02-08T11:47:31Z
dc.date.available2016-02-08T11:47:31Z
dc.date.issued2006en_US
dc.identifier.urihttp://hdl.handle.net/11693/27206
dc.description.abstractIn this paper, we propose an optimal video streaming framework using retransmissions based on the theory of Markov Decision Processes (MDP). Using MDPs, we calculate average reward optimal policies so as to maximize the on time delivery probability of video frames in the transmission window while conforming to network-imposed available bandwidth constraints. The effectiveness of the proposed approach is validated by comparing the results with theoretically obtained rate-distortion curves corresponding to the optimal policies by using the distortion model in [2] © 2006 IEEE.en_US
dc.language.isoTurkishen_US
dc.source.title2006 IEEE 14th Signal Processing and Communications Applications Conferenceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2006.1659764en_US
dc.subjectDecision makingen_US
dc.subjectFrequency allocationen_US
dc.subjectImage communication systemsen_US
dc.subjectMarkov processesen_US
dc.subjectMathematical modelsen_US
dc.subjectBandwidth constraintsen_US
dc.subjectOptimal streamingen_US
dc.subjectRate constraintsen_US
dc.subjectVideo streamingen_US
dc.titleOptimal streaming under rate constraints (İngilizce)en_US
dc.title.alternativeBant genişliği kisiti altinda videonun en iyi iletimi (Türkçe)en_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.citation.volumeNumber2006en_US
dc.identifier.doi10.1109/SIU.2006.1659764en_US


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