A reduced-reference parametric model for audiovisual quality of IPTV services

Toni Mäki, D. Kukolj, D. Dordevic, Martin Varela

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

14 Citations (Scopus)

Abstract

In this paper we present a parametric model for audiovisual quality estimation in IPTV and similar services. The proposed model takes advantage of signal characteristics calculated at the sender (in particular related to levels of motion in the content), but is purely parametric on the estimation (i.e. it does not require peeking into the bitstream), which makes it suitable for large-scale real-time monitoring applications. In order to obtain the model, we followed the Pseudo-Subjective Quality Assessment (PSQA) methodology, and compared different kinds of statistical estimators, namely Multilayer Perceptrons (MLP) and Random Neural Networks (RNN).
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationFifth International Workshop on Quality of Multimedia Experience, QoMEX 2013
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages6-11
ISBN (Electronic) 978-1-4799-0738-0
DOIs
Publication statusPublished - 2013
MoE publication typeNot Eligible
Event5th International Workshop on Quality of Multimedia Experience, QoMEX 2013 - Klagenfurt am Wörthersee, Austria
Duration: 5 Jul 20137 Jul 2013
Conference number: 5

Conference

Conference5th International Workshop on Quality of Multimedia Experience, QoMEX 2013
Abbreviated titleQoMEX 2013
CountryAustria
CityKlagenfurt am Wörthersee
Period5/07/137/07/13

Keywords

  • audiovisual quality assessment
  • feature clustering
  • neural network
  • video quality assessment

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    Mäki, T., Kukolj, D., Dordevic, D., & Varela, M. (2013). A reduced-reference parametric model for audiovisual quality of IPTV services. In Proceedings: Fifth International Workshop on Quality of Multimedia Experience, QoMEX 2013 (pp. 6-11). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/QoMEX.2013.6603193