Inclusion of End User Playback-Related Interactions in YouTube Video Data Collection and ML-Based Performance Model Training
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9119338/9123068/09123107.pdf?arnumber=9123107
Cited by 5 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. F3l: an automated and secure function-level low-overhead labeled encrypted traffic dataset construction method for IM in Android;Cybersecurity;2024-01-01
2. Impact of User Playback Interactions on In-Network Estimation of Video Streaming Performance;IEEE Transactions on Network and Service Management;2022-09
3. DeepCrypt - Deep Learning for QoE Monitoring and Fingerprinting of User Actions in Adaptive Video Streaming;2022 IEEE 8th International Conference on Network Softwarization (NetSoft);2022-06-27
4. QoE‐aware traffic monitoring based on user behavior in video streaming services;Concurrency and Computation: Practice and Experience;2021-11-08
5. Performance Estimation of Encrypted Video Streaming in Light of End-User Playback-Related Interactions;Proceedings of the 12th ACM Multimedia Systems Conference;2021-06-24
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