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Computational Inference and Control of Quality in Multimedia Services (Hardcover, 1st ed. 2015): Vlado Menkovski Computational Inference and Control of Quality in Multimedia Services (Hardcover, 1st ed. 2015)
Vlado Menkovski
R3,570 R1,936 Discovery Miles 19 360 Save R1,634 (46%) Ships in 12 - 17 working days

This thesis focuses on the problem of optimizing the quality of network multimedia services. This problem spans multiple domains, from subjective perception of multimedia quality to computer networks management. The work done in this thesis approaches the problem at different levels, developing methods for modeling the subjective perception of quality based on objectively measurable parameters of the multimedia coding process as well as the transport over computer networks. The modeling of subjective perception is motivated by work done in psychophysics, while using Machine Learning techniques to map network conditions to the human perception of video services. Furthermore, the work develops models for efficient control of multimedia systems operating in dynamic networked environments with the goal of delivering optimized Quality of Experience. Overall this thesis delivers a set of methods for monitoring and optimizing the quality of multimedia services that adapt to the dynamic environment of computer networks in which they operate.

Computational Inference and Control of Quality in Multimedia Services (Paperback, Softcover reprint of the original 1st ed.... Computational Inference and Control of Quality in Multimedia Services (Paperback, Softcover reprint of the original 1st ed. 2015)
Vlado Menkovski
R2,002 Discovery Miles 20 020 Ships in 10 - 15 working days

This thesis focuses on the problem of optimizing the quality of network multimedia services. This problem spans multiple domains, from subjective perception of multimedia quality to computer networks management. The work done in this thesis approaches the problem at different levels, developing methods for modeling the subjective perception of quality based on objectively measurable parameters of the multimedia coding process as well as the transport over computer networks. The modeling of subjective perception is motivated by work done in psychophysics, while using Machine Learning techniques to map network conditions to the human perception of video services. Furthermore, the work develops models for efficient control of multimedia systems operating in dynamic networked environments with the goal of delivering optimized Quality of Experience. Overall this thesis delivers a set of methods for monitoring and optimizing the quality of multimedia services that adapt to the dynamic environment of computer networks in which they operate.

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