Quality of Experience Prediction of HTTP Video Streaming in Mobile Network with Random Forest

2019 ◽  
pp. 82-91
Author(s):  
Yue Yu ◽  
Yu Liu ◽  
Yumei Wang
Keyword(s):  
Random Forest ◽  
Video Streaming ◽  
Quality Of Experience ◽  
Mobile Network

Quality of Experience evaluation of 4k Video Streaming using Referenced Metrics

2021 ◽  
Author(s):  
Edma V.C. Urtiga Mattos ◽  
Gustavo M. Torres ◽  
Mateus O. Da Silva ◽  
Victor L.G. Calvacante ◽  
Adriel V. Dos Santos ◽  
...  
Keyword(s):  
Video Streaming ◽  
Quality Of Experience

Estimation of the Quality of Experience During Video Streaming From Facial Expression and Gaze Direction

2020 ◽  
Vol 17 (4) ◽  
pp. 2702-2716
Author(s):  
Simone Porcu ◽  
Alessandro Floris ◽  
Jan-Niklas Voigt-Antons ◽  
Luigi Atzori ◽  
Sebastian Moller
Keyword(s):  
Facial Expression ◽  
Video Streaming ◽  
Quality Of Experience ◽  
Gaze Direction

scholarly journals Personalized Online Live Video Streaming Using Softmax-Based Multinomial Classification

2019 ◽  
Vol 9 (11) ◽  
pp. 2297
Author(s):  
Kyeongseon Kim ◽  
Dohyun Kwon ◽  
Joongheon Kim ◽  
Aziz Mohaisen
Keyword(s):  
Video Streaming ◽  
Waiting Time ◽  
Quality Of Experience ◽  
Video Quality ◽  
Live Video ◽  
Streaming Services ◽  
Online Streaming ◽  
Over The Top ◽  
User Content

As the demand for over-the-top and online streaming services exponentially increases, many techniques for Quality of Experience (QoE) provisioning have been studied. Users can take actions (e.g., skipping) while streaming a video. Therefore, we should consider the viewing pattern of users rather than the network condition or video quality. In this context, we propose a proactive content-loading algorithm for improving per-user personalized preferences using multinomial softmax classification. Based on experimental results, the proposed algorithm has a personalized per-user content waiting time that is significantly lower than that of competing algorithms.

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