rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Computational Inference and Control of Quality in Multimedia Services
  name:
    name part: Menkovski, Vlado.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2015
    edition: 1st ed. 2015.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 135 p. 63 illus., 46 illus. in color. online resource.
  abstract: 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: Supervisor's Foreword -- Preface -- Introduction -- Objective QoE Models -- Subjective QoE Models -- QoE Management Framework -- QoE Active Control -- Conclusions.
  note: by Vlado Menkovski.
  subject:
    topic: Computer science
  subject:
    topic: Data mining
  subject:
    topic: Multimedia information systems
  subject:
    topic: Management information systems
  subject:
    topic: Electrical engineering
  subject:
    topic: Computer Science
  subject:
    topic: Multimedia Information Systems
  subject:
    topic: Communications Engineering, Networks
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Management of Computing and Information Systems
  classification: QA76.575
  classification: 006.7
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Theses, Recognizing Outstanding Ph.D. Research
  identifier: 9783319247922
  identifier: http://dx.doi.org/10.1007/978-3-319-24792-2
  record info:
    record creation date: 151022
    record change date: 20151204173520.0
    record identifier: 978-3-319-24792-2