Computational Inference and Control of Quality in Multimedia Services



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Éditeur :

Springer


Collection :

Springer Theses

Paru le : 2015-10-22



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Description

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.
Pages
135 pages
Collection
Springer Theses
Parution
2015-10-22
Marque
Springer
EAN papier
9783319247908
EAN PDF
9783319247922

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
8786 Ko
Prix
52,74 €
EAN EPUB
9783319247922

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
2079 Ko
Prix
52,74 €