Abstract
Multimedia service providers and operators need tools
that can estimate the quality of the services delivered
to their end-customers. While laboratory-originated data
is accurate and reliable, the performance of Quality of
Experience (QoE) models could be improved by taking into
account the real context of use. This chapter compares
results of a laboratory audiovisual quality subjective
study and two smaller scale user studies conducted in a
public place. It discusses the author's approach used for
enhancing the prediction accuracy with context-specific
bias functions. The chapter describes the test content,
how it was generated, and summarizes the laboratory-based
assessment campaign. It also describes the subjective
tests performed at two exhibition halls, presents the
results of the public place tests and compares them to
the laboratory tests. The chapter analyses the
performance of laboratory trained model in the public
contexts, and that of the potential bias functions based
on the field tests.
| Original language | English |
|---|---|
| Title of host publication | Quality of Experience Engineering for Customer Added Value Services |
| Subtitle of host publication | From Evaluation to Monitoring |
| Publisher | Wiley |
| Pages | 53-72 |
| ISBN (Print) | 978-1-84821-672-3 |
| DOIs | |
| Publication status | Published - 2014 |
| MoE publication type | D2 Article in professional manuals or guides or professional information systems or text book material |
Keywords
- audiovisual services
- laboratory-based assessment campaign
- Quality of Experience (QoE)