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 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/Territory | France |
| City | Paris |
| Period | 17/06/13 → 19/06/13 |
Keywords
- QoE
- subjective assessment