Improving the Transfer of Machine Learning-Based Video QoE Estimation Across Diverse Networks_新万博体育下载_万博体育app【投注官网】

Chair of Networked Systems and Communication Networks
2023-10-22T22:00:00+00:00
Universit?t Augsburg

Our paper “Improving the Transfer of Machine Learning-Based Video QoE Estimation Across Diverse Networks” was published in the IEEE Transactions on Network and Service Management (TNSM) Journal. The paper highlights that previous work on estimating QoE/KPI for encrypted video traffic has typically only been conducted in a specific network environment. In contrast, this paper investigates the cross-validation of models for different networks to evaluate their performance under different conditions.