A survey on quality of experience of HTTP adaptive streaming

M Seufert, S Egger, M Slanina, T Zinner… - … Surveys & Tutorials, 2014 - ieeexplore.ieee.org
Changing network conditions pose severe problems to video streaming in the Internet. HTTP
adaptive streaming (HAS) is a technology employed by numerous video services that …

Quality of experience for streaming services: measurements, challenges and insights

K Bouraqia, E Sabir, M Sadik, L Ladid - IEEE Access, 2020 - ieeexplore.ieee.org
Over the last few years, the evolution of network and user handsets' technologies, have
challenged the telecom industry and the Internet ecosystem. Especially, the unprecedented …

Real-time video quality of experience monitoring for https and quic

MH Mazhar, Z Shafiq - IEEE INFOCOM 2018-IEEE Conference …, 2018 - ieeexplore.ieee.org
The widespread deployment of end-to-end encryption protocols such as HTTPS and QUIC
has reduced the visibility for operators into traffic on their networks. Network operators need …

Measuring, modeling and integrating time-varying video quality in end-to-end multimedia service delivery: A review and open challenges

CTER Hewage, A Ahmad, T Mallikarachchi… - IEEE …, 2022 - ieeexplore.ieee.org
The multimedia delivery chain consists of multiple stages such as content preparation,
content delivery via Over-The-Top delivery network and Internet Service Providers network …

Requet: Real-time qoe detection for encrypted youtube traffic

C Gutterman, K Guo, S Arora, X Wang, L Wu… - Proceedings of the 10th …, 2019 - dl.acm.org
As video traffic dominates the Internet, it is important for operators to detect video Quality of
Experience (QoE) in order to ensure adequate support for video traffic. With wide …

Vicrypt to the rescue: Real-time, machine-learning-driven video-qoe monitoring for encrypted streaming traffic

S Wassermann, M Seufert, P Casas… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Video streaming is the killer application of the Internet today. In this article, we address the
problem of real-time, passive Quality-of-Experience (QoE) monitoring of HTTP Adaptive …

A machine learning approach to classifying YouTube QoE based on encrypted network traffic

I Orsolic, D Pevec, M Suznjevic… - Multimedia tools and …, 2017 - Springer
Due to the widespread use of encryption in Over-The-Top video streaming traffic, network
operators generally lack insight into application-level quality indicators (eg, video quality …

Predicting QoE in cellular networks using machine learning and in-smartphone measurements

P Casas, A D'Alconzo, F Wamser… - … on Quality of …, 2017 - ieeexplore.ieee.org
Monitoring the Quality of Experience (QoE) undergone by cellular network customers has
become paramount for cellular ISPs, who need to ensure high quality levels to limit customer …

YoMoApp: A tool for analyzing QoE of YouTube HTTP adaptive streaming in mobile networks

F Wamser, M Seufert, P Casas, R Irmer… - … on Networks and …, 2015 - ieeexplore.ieee.org
The performance of YouTube in mobile networks is crucial to network operators, who try to
find a trade-off between cost-efficient handling of the huge traffic amounts and high …

Stream-based machine learning for real-time QoE analysis of encrypted video streaming traffic

M Seufert, P Casas, N Wehner… - 2019 22nd Conference …, 2019 - ieeexplore.ieee.org
As stalling is the worst Quality of Experience (QoE) degradation of HTTP adaptive video
streaming (HAS), this work presents a stream-based machine learning approach, ViCrypt …