• DocumentCode
    3408937
  • Title

    T-V-model: Parameter-based prediction of IPTV quality

  • Author

    Raake, A. ; Garcia, M.N. ; Möller, S. ; Berger, J. ; Kling, F. ; List, P. ; Johann, J. ; Heidemann, C.

  • Author_Institution
    Berlin Univ. of Technol. Deutsche Telekom Labs. Berlin, Berlin
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    1149
  • Lastpage
    1152
  • Abstract
    The paper presents a parameter-based model for predicting the perceived quality of transmitted video for IPTV applications. The core model we derived can be applied both to service monitoring and network or service planning. In its current form, the model covers H.264 and MPEG-2 coded video (standard and high definition) transmitted over IP-links. The model includes factors like the coding bit-rate, the packet loss percentage and the type of packet loss handling used by the codec. The paper provides an overview of the model, of its integration into a multimedia model predicting audio-visual quality, and of its application to service monitoring. A performance analysis is presented showing a high correlation with the results of different subjective video quality perception tests. An outlook highlights future model extensions.
  • Keywords
    IP networks; digital television; video coding; H.264 coded video; IP-links; IPTV quality; MPEG-2 coded video; T-V-model; audio-visual quality; packet loss; parameter-based model; parameter-based prediction; service monitoring; video quality; Codecs; High definition video; IPTV; Laboratories; Monitoring; Paper technology; Predictive models; TV broadcasting; Testing; Video coding; Modeling; Monitoring; Multimedia systems; TV broadcasting; video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4517818
  • Filename
    4517818