Real time video QoE analysis of RTMP streams

We aim to develop self-healing networks that can detect degradation of streaming video quality of experience (QoE), react, and correct the pathology on the network. We present an architecture to assess real time video QoE of RTMP streams. Results from a small set of preliminary experiments demonstrate that we can predict video QoE with 70-80% accuracy based on stream state measurements and previous users' ratings, using at little as 20 seconds of stream state information.