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Springer Theses

Computational Inference and Control of Quality in Multimedia Services

Authors: Menkovski, Vlado

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  • 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
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  • ISBN 978-3-319-24792-2
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Softcover $129.00
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About this book

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.

Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook $99.00
price for USA in USD
  • ISBN 978-3-319-24792-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $119.99
price for USA in USD
Softcover $129.00
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Computational Inference and Control of Quality in Multimedia Services
Authors
Series Title
Springer Theses
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-24792-2
DOI
10.1007/978-3-319-24792-2
Hardcover ISBN
978-3-319-24790-8
Softcover ISBN
978-3-319-36639-5
Series ISSN
2190-5053
Edition Number
1
Number of Pages
XIII, 135
Number of Illustrations
17 b/w illustrations, 46 illustrations in colour
Topics