Computational Inference and Control of Quality in Multimedia Services

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 meth...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Menkovski, Vlado (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Springer Theses, Recognizing Outstanding Ph.D. Research,
Temas:
Multimedia systems.
Telecommunication.
Data mining.
Electronic data processing-Management.
Multimedia Information Systems.
Communications Engineering, Networks.
Data Mining and Knowledge Discovery.
IT Operations.
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Computational Inference and Control of Quality in Multimedia Services  |h [electronic resource] /  |c by Vlado Menkovski. 
250 |a 1st ed. 2015. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2015. 
300 |a XIII, 135 p. 63 illus., 46 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a Springer Theses, Recognizing Outstanding Ph.D. Research,  |x 2190-5061 
505 0 |a Supervisor's Foreword -- Preface -- Introduction -- Objective QoE Models -- Subjective QoE Models -- QoE Management Framework -- QoE Active Control -- Conclusions. 
520 |a 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. 
650 0 |a Multimedia systems. 
650 0 |a Telecommunication. 
650 0 |a Data mining. 
650 0 |a Electronic data processing-Management. 
650 1 4 |a Multimedia Information Systems. 
650 2 4 |a Communications Engineering, Networks. 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a IT Operations. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783319247908 
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830 0 |a Springer Theses, Recognizing Outstanding Ph.D. Research,  |x 2190-5061 
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912 |a ZDB-2-SXCS 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710) 

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