Computational Inference and Control of Quality in Multimedia Services

  • Vlado┬áMenkovski

Part of the Springer Theses book series (Springer Theses)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Vlado Menkovski
    Pages 1-14
  3. Vlado Menkovski
    Pages 15-36
  4. Vlado Menkovski
    Pages 37-63
  5. Vlado Menkovski
    Pages 65-98
  6. Vlado Menkovski
    Pages 99-124
  7. Vlado Menkovski
    Pages 125-135

About this book

Introduction

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.

Keywords

Cognitive Adaptive Streaming IPTV Service Management Video Quality of Experience Packet-based communication networks Video streams Transmission of time-critical media

Authors and affiliations

  • Vlado┬áMenkovski
    • 1
  1. 1.Philips ResearchEindhovenThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-24792-2
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-24790-8
  • Online ISBN 978-3-319-24792-2
  • Series Print ISSN 2190-5053
  • Series Online ISSN 2190-5061
  • About this book
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