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dc.contributor.advisorXiong, Zixiang
dc.creatorKota, Praveen
dc.date.accessioned2007-09-17T19:30:54Z
dc.date.available2007-09-17T19:30:54Z
dc.date.created2003-05
dc.date.issued2007-09-17
dc.identifier.urihttps://hdl.handle.net/1969.1/5741
dc.description.abstractWhile there has always been a tremendous demand for streaming video over TCP/IP networks, the nature of the application still presents some challenging issues. These applications that transmit multimedia data over best-effort networks like the Internet must cope with the changing network behavior; specifically, the source encoder rate should be controlled based on feedback from a channel estimator that probes the network periodically. First, one such Multimedia Streaming TCP-Friendly Protocol (MSTFP) is considered, which iteratively integrates forward estimation of network status with feedback control to closely track the varying network characteristics. Second, a network-adaptive embedded bit stream is generated using a r-domain rate controller. The conceptual elegance of this r-domain framework stems from the fact that the coding bit rate ) (R is approximately linear in the percentage of zeros among the quantized spatial transform coefficients ) ( r , as opposed to the more traditional, complex and highly nonlinear ) ( Q R characterization. Though the r-model has been successfully implemented on a few other video codecs, its application to the emerging video coding standard H.264 is considered. The extensive experimental results show thatrobust rate control, similar or improved Peak Signal to Noise Ratio (PSNR), and a faster implementation.en
dc.format.extent762202 bytesen
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.subjectH.264en
dc.subjectRate controlen
dc.subjectRho domainen
dc.subjectMSTFPen
dc.subjectStreamingen
dc.subjectVideo compressionen
dc.subjectRate adaptabilityen
dc.subjectWinsocken
dc.titleRate-adaptive H.264 for TCP/IP networksen
dc.typeBooken
dc.typeThesisen
thesis.degree.departmentElectrical and Computer Engineeringen
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberJi, Jim
dc.contributor.committeeMemberKundur, Deepa
dc.contributor.committeeMemberLoguinov, Dmitri
dc.type.genreElectronic Thesisen
dc.type.materialtexten
dc.format.digitalOriginborn digitalen


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