On the Identification and Prediction of Stalling Events to Improve QoE in Video Streaming
Monitoring the Quality of user Experience is a challenge for video streaming services. Models for Quality of User Experience (QoE) evaluation such as the ITU-T Rec. P.1203 are very promising. Among the input data that they require are the occurrence and duration of stalling events. A stalling even5...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
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Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/10/6/753 |