Title :
Real time video QoE analysis of RTMP streams
Author :
French, Holly ; Lin, Jie ; Phan, Tung ; Dalal, Amy Csizmar
Author_Institution :
Dept. of Comput. Sci., Carleton Coll., Northfield, MN, USA
Abstract :
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.
Keywords :
video streaming; RTMP streams; real time video QoE analysis; real time video quality of experience analysis; self-healing networks; stream state measurements; time 20 s; Bit rate; Degradation; Delay; Quality assessment; Real time systems; Servers; Streaming media; Video streaming; measurement; multimedia applications; quality of experience (QoE); quality of service (QoS); subjective quality;
Conference_Titel :
Performance Computing and Communications Conference (IPCCC), 2011 IEEE 30th International
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-0010-0
DOI :
10.1109/PCCC.2011.6108105
