DocumentCode
2721998
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
fYear
2011
fDate
17-19 Nov. 2011
Firstpage
1
Lastpage
2
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Performance Computing and Communications Conference (IPCCC), 2011 IEEE 30th International
Conference_Location
Orlando, FL
ISSN
1097-2641
Print_ISBN
978-1-4673-0010-0
Type
conf
DOI
10.1109/PCCC.2011.6108105
Filename
6108105
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