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Unsupervised deep learning for real-time assessment of video streaming services

  • Published:2017-05-31 Issue:21 Volume:76 Page:22303-22327
  • ISSN:1380-7501
  • Container-title:Multimedia Tools and Applications
  • language:en
  • Short-container-title:Multimed Tools Appl

Author:

Torres Vega Maria,Mocanu Decebal Constantin,Liotta Antonio

Funder

European Research Council

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance analysis of collaborative real-time video quality of service prediction with machine learning algorithms;International Journal of Data Science and Analytics;2024-04-27

2. Video Quality Assessment;Machine Learning For Network Traffic and Video Quality Analysis;2024

3. Real-Time Big Data Analytics for Live Streaming Video Quality Assessment Using Deep Learning;2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2023-05-25

4. Deep Learning for VBR Traffic Prediction-Based Proactive MBSFN Resource Allocation Approach;IEEE Transactions on Network and Service Management;2023

5. A Survey of QoE Framework for Video Services in 5G Networks;Futuristic Communication and Network Technologies;2023
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