ACM MMSys'17 demo paper accepted: "AdViSE: Adaptive Video Streaming Evaluation Framework for the Automated Testing of Media Players"

AdViSE: Adaptive Video Streaming Evaluation Framework for the Automated Testing of Media Players

Anatoliy Zabrovskiy (Petrozavodsk State University), Evgeny Kuzmin (Petrozavodsk State University), Evgeny Petrov (Petrozavodsk State University), Christian Timmerer (AAU/Bitmovin, and Christopher Mueller (Bitmovin)

PDF available here

Abstract: Today we can observe a plethora of adaptive video streaming 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 developed 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 framework 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 analysis including several QoE metrics with respect to a newly introduced bandwidth index.

ACM MMSys 2017: http://mmsys17.iis.sinica.edu.tw/

Please feel free to contact me for details and/or I'd be happy to meet you at ACM MMSys'17.