Overview
- 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
Part of the book series: Springer Theses (Springer Theses)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (6 chapters)
Keywords
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.
Authors and Affiliations
Bibliographic Information
Book Title: Computational Inference and Control of Quality in Multimedia Services
Authors: Vlado Menkovski
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-319-24792-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2015
Hardcover ISBN: 978-3-319-24790-8Published: 04 November 2015
Softcover ISBN: 978-3-319-36639-5Published: 23 August 2016
eBook ISBN: 978-3-319-24792-2Published: 22 October 2015
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XIII, 135
Number of Illustrations: 17 b/w illustrations, 46 illustrations in colour
Topics: Multimedia Information Systems, Communications Engineering, Networks, Data Mining and Knowledge Discovery, Management of Computing and Information Systems
Industry Sectors: IT & Software, Law, Telecommunications