AdViSE: Adaptive Video Streaming Evaluation Framework for the Automated Testing of Media Players (bibtex)
@INPROCEEDINGS{Zabrovskiy2017, language = {EN}, author = {Zabrovskiy, Anatoliy and Kuzmin, Evgeny and Petrov, Evgeny and Timmerer, Christian and Mueller, Christopher}, title = {AdViSE: Adaptive Video Streaming Evaluation Framework for the Automated Testing of Media Players}, editor = {Chen, Kuan-Ta}, talktype = {poster}, location = {Taipei, Taiwan}, talkdate = {2017.06.21}, booktitle = {Proceedings of the 8th ACM on Multimedia Systems Conference (MMSys'17)}, publisher = {ACM}, address = {New York, NY, USA}, pages = {4}, month = {jun}, year = {2017}, abstract = {Today we can observe a plethora of adaptive video stream- ing services and media players which support interoperable formats like DASH and HLS. Most of the players and their rate adaptation algorithms work as a black box. We have de- veloped a system for easy and rapid testing of media players under various network scenarios. In this paper, we introduce AdViSE, the Adaptive Video Streaming Evaluation frame- work for the automated testing of adaptive media players. The presented framework is used for the comparison and testing of media players in the context of adaptive video streaming over HTTP in web/HTML5 environments. The demonstration showcases a series of experiments with different media players under given context conditions (e.g., network shaping, delivery format). We will also demonstrate the real-time capabilities of the framework and offline anal- ysis including several QoE metrics with respect to a newly introduced bandwidth index.}, pdf = {http://www-itec.uni-klu.ac.at/bib/files/Demo_Paper_Camera_Ready.pdf} }
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