F. Wamser, M. Seufert, P. Casas, R. Irmer, P. Tran-gia et al., Understanding YouTube QoE in Cellular Networks with YoMoApp-a QoE Monitoring Tool for YouTube Mobile, Proceedings of the 21st Annual International Conference on Mobile Computing and Networking (MobiCom), 2015.

, Yomoapp: A tool for analyzing qoe of youtube http adaptive streaming in mobile networks, 2015 European Conference on Networks and Communications (EuCNC), pp.239-243, 2015.

W. Robitza, A. Ahmad, P. A. Kara, L. Atzori, M. G. Martini et al., Challenges of future multimedia qoe monitoring for internet service providers, Multimedia Tools and Applications, vol.76, issue.21, pp.22-243, 2017.

B. Staehle, M. Hirth, R. Pries, F. Wamser, and D. Staehle, YoMo: A YouTube Application Comfort Monitoring Tool, Proceedings of the 1st Workshop of Quality of Experience for Multimedia Content Sharing (QoEMCS), 2010.

R. Schatz, T. Hoßfeld, and P. Casas, Passive YouTube QoE Monitoring for ISPs, Proceedings of the 2nd International Workshop on Future Internet and Next Generation Networks (FINGNet), 2012.

P. Casas, R. Schatz, and T. Hoßfeld, Monitoring YouTube QoE: Is Your Mobile Network Delivering the Right Experience to Your Customers, Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC), 2013.

P. Casas, M. Seufert, and R. Schatz, YOUQMON: A System for Online Monitoring of YouTube QoE in Operational 3G Networks, ACM SIGMETRICS Performance Evaluation Review, vol.41, issue.2, pp.44-46, 2013.

H. Nam, K. Kim, D. Calin, and H. Schulzrinne, YouSlow: A Performance Analysis Tool for Adaptive Bitrate Video Streaming, ACM SIGCOMM Computer Communication Review, vol.44, issue.4, pp.111-112, 2014.

H. Nam, K. Kim, and H. Schulzrinne, QoE Matters More Than QoS: Why People Stop Watching Cat Videos, Proceedings of the IEEE INFOCOM, 2016.

H. Nam and H. Schulzrinne, YouSlow: What Influences User Abandonment Behavior for Internet Video?" Columbia University, 2016.

A. Nikravesh, H. Yao, S. Xu, D. Choffnes, and Z. M. Mao, Mobilyzer: An open platform for controllable mobile network measurements, Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services, ser. MobiSys '15, pp.389-404, 2015.

C. Kreibich, N. Weaver, B. Nechaev, and V. Paxson, Netalyzr: Illuminating the edge network, Proceedings of the 10th ACM SIGCOMM Conference on Internet Measurement, ser. IMC '10, pp.246-259, 2010.

Q. A. Chen, H. Luo, S. Rosen, Z. M. Mao, K. Iyer et al., Qoe doctor: Diagnosing mobile app qoe with automated ui control and cross-layer analysis, Proceedings of the 2014 Conference on Internet Measurement Conference, ser. IMC '14, pp.151-164, 2014.

,

I. Ketykó, K. De-moor, T. De-pessemier, A. J. Verdejo, K. Vanhecke et al., QoE Measurement of Mobile YouTube Video Streaming, Proceedings of the 3rd Workshop on Mobile Video Delivery (MoViD), 2010.

G. Gómez, L. Hortigüela, Q. Pérez, J. Lorca, R. García et al., YouTube QoE Evaluation Tool for Android Wireless Terminals, EURASIP Journal on Wireless Communications and Networking, vol.2014, issue.164, pp.1-14, 2014.

V. Aggarwal, E. Halepovic, J. Pang, S. Venkataraman, and H. Yan, Prometheus: Toward Quality-of-Experience Estimation for Mobile Apps from Passive Network Measurements, Proceedings of the 15th Workshop on Mobile Computing Systems and Applications (HotMobile), 2014.

P. Casas, A. D'alconzo, F. Wamser, M. Seufert, B. Gardlo et al., Predicting qoe in cellular networks using machine learning and in-smartphone measurements, 2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX), pp.1-6, 2017.

P. Casas, M. Seufert, F. Wamser, B. Gardlo, A. Sackl et al., Next to you: Monitoring quality of experience in cellular networks from the end-devices, IEEE Transactions on Network and Service Management, vol.13, issue.2, pp.181-196, 2016.

G. Dimopoulos, I. Leontiadis, P. Barlet-ros, and K. Papagiannaki, Measuring Video QoE from Encrypted Traffic, Proceedings of the ACM Internet Measurement Conference (IMC), 2016.

I. Orsolic, D. Pevec, M. Suznjevic, and L. Skorin-kapov, A machine learning approach to classifying youtube qoe based on encrypted network traffic, Multimedia Tools and Applications, vol.76, issue.21, pp.22-267, 2017.

M. H. Mazhar and M. Z. Shafiq, Real-time video quality of experience monitoring for https and quic, IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 2018.

, ITU-T Recommendation P.800: Methods for Subjective Determination of Transmission Quality, 1996.

, ITU-T Recommendation P.1203: Parametric Bitstream-based Quality Assessment of Progressive Download and Adaptive Audiovisual Streaming Services over Reliable Transport, 2016.

P. Casas, R. Schatz, F. Wamser, M. Seufert, and R. Irmer, Exploring qoe in cellular networks: How much bandwidth do you need for popular smartphone apps, Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges, ser. AllThingsCellular '15, pp.13-18, 2015.