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Computational Inference and Control of Quality in Multimedia Services (Hardcover, 1st ed. 2015)
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Computational Inference and Control of Quality in Multimedia Services (Hardcover, 1st ed. 2015)
Series: Springer Theses
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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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