all the results. This metric is called mean opinion score (MOS) and it is the basis of most of the objective video quality metrics, which try to model video quality in a way which correlates as much as possible with MOS [2]. These kinds of solutions, however, are normally quite costly in terms of computing power required, and require measuring the video quality in the pixel domain, typically both before and after the degradation. Thus they are widely used in video codec calibration, but very limitedly in network monitoring.Multimedia quality of service is typically characterized by the Media Delivery Index (MDI) [10], which is a de facto standard in IPTV deployments. MDI is composed of two measurements: the packet loss rate (PLR), and the delay factor (DF), a measure of packet jitter. It is quite useful to model network issues and effective packet loss, but it assumes that all

No abstract

No abstract

No abstract

Abstract-Real-time monitoring of multimedia Quality of Experience is a critical task for the providers of multimedia delivery services: from television broadcasters to IP content delivery networks or IPTV. For such scenarios, meaningful metrics are required which can generate useful information to the service providers that overcome the limitations of pure Quality of Service monitoring probes. However, most of objective multimedia quality estimators, aimed at modeling the Mean Opinion Score, are difficult to apply to massive quality monitoring. Thus we propose a lightweight and scalable monitoring architecture called Qualitative Experience Monitoring (QuEM), based on detecting identifiable impairment events such as the ones reported by the customers of those services. We also carried out a subjective assessment test to validate the approach and calibrate the metrics. Preliminary results of this test set support our approach.