Video Quality Assessment and Management in Content Distribution Networks

The presented research deals with (objective) video quality assessment and how it can be used within CDN. In order to guarantee a high perceived video quality an objective video content assessment and management service considering human visual system characteristics, audio-visual content and network impairments is being devised. Within this research aspects of automatic content assessment using human visual characteristics and human quality perception are brought together with core communication topics such as QoS, network topology, multi services networks, etc. The result of this work will be a service within a content infrastructure that assess where and how quality degradation occurs in the CDN. Using this service adaptation tools and services can, for instance, be instantiated in the CDN in order to provide the most optimal quality experience to the user. Alternatively, the communication path can be adjusted according to the experienced traffic characteristics and application requirements. The poster introduces some initial work on objective video quality assessment and management. Further, it outlines the envisaged OVQA service architecture and then finishes with conclusion.