Estimating the effect of context on QoE of audiovisual services: Laboratory vs. public places

Toni Mäki, Martín Varela, Jukka-Pekka Laulajainen

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

3 Citations (Scopus)

Abstract

Multimedia service providers and operators need tools that can estimate the quality of the services delivered to their end-customers. To this end, a variety of quality prediction models has been developed. The models are typically built and trained based on data acquired from user studies conducted in laboratories with precisely defined conditions. While laboratory originated data is accurate and reliable, the performance of Quality of Experience (QoE) models could be possibly further improved by taking into account the real context of use. Working towards that goal, in this paper, we compare results of a laboratory audiovisual quality subjective study and two smaller scale user studies conducted in public place. We also discuss our approach of enhancing the prediction accuracy with context-specific bias functions.
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationInternational Conference on Smart Communications in Network Technologies, SaCoNeT 2013
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages1-6
ISBN (Electronic)978-1-4799-0694-9
Publication statusPublished - 2013
MoE publication typeNot Eligible
EventInternational Conference on Smart Communications in Network Technologies, SaCoNeT 2013 - Paris, France
Duration: 17 Jun 201319 Jun 2013

Conference

ConferenceInternational Conference on Smart Communications in Network Technologies, SaCoNeT 2013
Abbreviated titleSaCoNeT 2013
CountryFrance
CityParis
Period17/06/1319/06/13

Keywords

  • QoE
  • subjective assessment

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    Mäki, T., Varela, M., & Laulajainen, J-P. (2013). Estimating the effect of context on QoE of audiovisual services: Laboratory vs. public places. In Proceedings: International Conference on Smart Communications in Network Technologies, SaCoNeT 2013 (pp. 1-6). IEEE Institute of Electrical and Electronic Engineers. http://dx.doi.org/10.1109/SaCoNeT.2013.6654556