Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings |
| Subtitle of host publication | International Conference on Smart Communications in Network Technologies, SaCoNeT 2013 |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 1-6 |
| ISBN (Electronic) | 978-1-4799-0694-9 |
| Publication status | Published - 2013 |
| MoE publication type | Not Eligible |
| Event | International Conference on Smart Communications in Network Technologies, SaCoNeT 2013 - Paris, France Duration: 17 Jun 2013 → 19 Jun 2013 |
Conference
| Conference | International Conference on Smart Communications in Network Technologies, SaCoNeT 2013 |
|---|---|
| Abbreviated title | SaCoNeT 2013 |
| Country | France |
| City | Paris |
| Period | 17/06/13 → 19/06/13 |
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Keywords
- QoE
- subjective assessment
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Estimating the effect of context on QoE of audiovisual services : Laboratory vs. public places. / Mäki, Toni; Varela, Martín; Laulajainen, Jukka-Pekka.
Proceedings: International Conference on Smart Communications in Network Technologies, SaCoNeT 2013. IEEE Institute of Electrical and Electronic Engineers , 2013. p. 1-6.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Estimating the effect of context on QoE of audiovisual services
T2 - Laboratory vs. public places
AU - Mäki, Toni
AU - Varela, Martín
AU - Laulajainen, Jukka-Pekka
N1 - Project code: 75001; 72815
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - QoE
KW - subjective assessment
M3 - Conference article in proceedings
SP - 1
EP - 6
BT - Proceedings
PB - IEEE Institute of Electrical and Electronic Engineers
ER -