Estimation of in-service quality of experience for peer-to-peer live video streaming systems using a user-centric and context-aware approach based on Bayesian networks

2013 ◽  
Vol 24 (3) ◽  
pp. 280-287 ◽  
Author(s):  
Ahmad Umair Mian ◽  
Zheng Hu ◽  
Hui Tian
Keyword(s):  
Service Quality ◽  
Bayesian Networks ◽  
Video Streaming ◽  
Quality Of Experience ◽  
Peer To Peer ◽  
Context Aware ◽  
Live Video ◽  
Live Video Streaming ◽  
User Centric

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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