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RATE-DISTORTION ANALYSIS AND TRAFFIC MODELING OF SCALABLE VIDEO CODERS A Dissertation by MIN DAI Submitted to Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Approved as to style and content by: | RATE-DISTORTION ANALYSIS AND TRAFFIC MODELING OF SCALABLE VIDEO CODERS A Dissertation by MIN DAI Submitted to the Office of Graduate Studies of Texas A M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY December 2004 Major Subject Electrical Engineering RATE-DISTORTION ANALYSIS AND TRAFFIC MODELING OF SCALABLE VIDEO CODERS A Dissertation by MIN DAI Submitted to Texas A M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Approved as to style and content by Andrew K. Chan Co-Chair of Committee Dmitri Loguinov Co-Chair of Committee Karen L. Butler-Purry Member Erchin Serpedin Member Chanan Singh Head of Department December 2004 Major Subject Electrical Engineering iii ABSTRACT Rate-Distortion Analysis and Traffic Modeling of Scalable Video Coders. December 2004 Min Dai B.S. Shanghai Jiao Tong University M.S. Shanghai Jiao Tong University Co-Chairs of Advisory Committee Dr. Andrew K. Chan Dr. Dmitri Loguinov In this work we focus on two important goals of the transmission of scalable video over the Internet. The hrst goal is to provide high quality video to end users and the second one is to properly design networks and predict network performance for video transmission based on the characteristics of existing video traffic. Rate-distortion R-D based schemes are often applied to improve and stabilize video quality however the lack of R-D modeling of scalable coders limits their applications in scalable streaming. Thus in the hrst part of this work we analyze R-D curves of scalable video coders and propose a novel operational R-D model. We evaluate and demonstrate the accuracy of our R-D function in various scalable coders such as Fine Granular Scalable FGS and Progressive FGS coders. Furthermore due to the time-constraint nature of Internet streaming we propose another operational R-D model which is accurate yet with low computational cost and apply it to streaming applications for .
