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Let me Decrypt your Beauty: Real-time Prediction of Video Resolution and Bitrate for Encrypted Video Streaming
Abstract : The dynamic adaptation of the video quality induced by HTTP Adaptive Streaming (HAS) technology introduces new Quality of Experience (QoE) metrics beyond re-buffering. In this work we address the problem of real-time QoE monitoring of HAS, focusing on the continuous prediction of video resolution and average video bitrate, for the particular case of YouTube. Through empirical evaluations over a large video dataset, we demonstrate that it is possible to accurately predict the specific video resolution, as well as the average video bitrate, both in real time, and using a time granularity as small as one new prediction every second, not achieved by other proposals in the literature.
Cited literature [6 references]
https://hal.archives-ouvertes.fr/hal-02134851
Contributor : Sarah Wassermann Connect in order to contact the contributor
Submitted on : Monday, May 20, 2019 - 5:32:27 PM
Last modification on : Friday, September 17, 2021 - 2:50:09 PM
Contributor : Sarah Wassermann Connect in order to contact the contributor
Submitted on : Monday, May 20, 2019 - 5:32:27 PM
Last modification on : Friday, September 17, 2021 - 2:50:09 PM
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