A Hybrid Contextual User Perception Model for Streamed Video Quality Assessment

Mamadou Tourad Diallo (1, 2, 3, 4, 5) , Nicolas Maréchal (2) , Hossam Afifi (1, 3, 4, 5)

1 TSP - RST - Département Réseaux et Services de Télécommunications
2 Orange Labs [Issy les Moulineaux]
3 SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux
4 TSP - RS2M - Département Réseaux et Services Multimédia Mobiles
5 CNRS - Centre National de la Recherche Scientifique

Users’ satisfaction is the service providers’ aim to reduce the churn, promote new services and improve ARPU (Average Revenue per User). In this work, a novel hybrid assessment technique is presented. It refines known mathematical models for quality assessment using both context information and subjectives tests. The model is then enriched with new features such as content characteristics, device type and network status, and compared to the state of the art. The effect of application parameters (startup time and buffering ratio) on user perceived quality is also analyzed in this article.

Domaines: Informatique [cs]

Mamadou Tourad Diallo, Nicolas Maréchal, Hossam Afifi. A Hybrid Contextual User Perception Model for Streamed Video Quality Assessment. ISM 2013: IEEE International Symposium on Multimedia, 2013, pp.518 - 519. ⟨10.1109/ISM.2013.104⟩. ⟨hal-01077544⟩