Cantitate/Preț
Produs

Computational Inference and Control of Quality in Multimedia Services: Springer Theses

Autor Vlado Menkovski
en Limba Engleză Hardback – 4 noi 2015
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 28319 lei  38-45 zile
  Springer International Publishing – 23 aug 2016 28319 lei  38-45 zile
Hardback (1) 29360 lei  38-45 zile
  Springer International Publishing – 4 noi 2015 29360 lei  38-45 zile

Din seria Springer Theses

Preț: 29360 lei

Preț vechi: 36700 lei
-20%

Puncte Express: 440

Preț estimativ în valută:
5625 6093$ 4824£

Carte tipărită la comandă

Livrare economică 06-13 mai

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783319247908
ISBN-10: 3319247905
Pagini: 135
Ilustrații: XIII, 135 p. 63 illus., 46 illus. in color.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.39 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seria Springer Theses

Locul publicării:Cham, Switzerland

Cuprins

Supervisor's Foreword.- Preface.- Introduction.- Objective QoE Models.- Subjective QoE Models.- QoE Management Framework.- QoE Active Control.- Conclusions.

Textul de pe ultima copertă

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.

Caracteristici

Awarded the best doctoral project award 2014 at Eindhoven University of Technology
Develops a novel application of computational intelligence to address complex QoE optimization problems
Provides a new QoE estimation method for video streaming services based on machine learning
Includes supplementary material: sn.pub/extras