Tightrope walking in low-latency live streaming: Optimal joint adaptation of video rate and playback speed

L Sun, T Zong, S Wang, Y Liu, Y Wang - Proceedings of the 12th ACM …, 2021 - dl.acm.org
It is highly challenging to simultaneously achieve high-rate and low-latency in live video
streaming. Chunk-based streaming and playback speed adaptation are two promising new …

Rldish: Edge-assisted qoe optimization of http live streaming with reinforcement learning

H Wang, K Wu, J Wang, G Tang - IEEE INFOCOM 2020-IEEE …, 2020 - ieeexplore.ieee.org
Recent years have seen a rapidly increasing traffic demand for HTTP-based high-quality live
video streaming. The surging traffic demand, as well as the real-time property of live videos …

Hydrus: Improving Personalized Quality of Experience in Short-form Video Services

Z Yuan, K Ren, G Wang, X Miao - … of the 46th International ACM SIGIR …, 2023 - dl.acm.org
Traditional approaches to improving users' quality of experience (QoE) focus on minimizing
the latency on the server side. Through an analysis of 15 million users, however, we find that …

vRetention: A User Viewing Dataset for Popular Video Streaming Services

BR Chen, J Zhu, Y Jiang, YC Hu - … of the 15th ACM Multimedia Systems …, 2024 - dl.acm.org
Adaptive bitrate streaming (ABR) and quality of experience (QoE) metrics are proposed to
enhance video streaming quality across various Internet connections. Traditional …

Deep learning based prediction model for adaptive video streaming

A Lekharu, KY Moulii, A Sur… - … Systems & NETworkS …, 2020 - ieeexplore.ieee.org
Improving the overall Quality of Experience (QoE) of a client for a given video streaming
session is a challenging task in a continuously varying network environment. A dynamic bit …

Improving quality of experience for mobile broadcasters in personalized live video streaming

Q Ren, Y Cui, W Wu, C Chen, Y Chen… - 2018 IEEE/ACM 26th …, 2018 - ieeexplore.ieee.org
Ensuring high video quality of experience (QoE) on the broadcaster side is critical for
interactive live streaming. However, measurements on multiple live streaming platforms …

QoE-based Reinforcement Learning at MEC for Improving 4K Streaming Quality

S Oh, J Jang, P Park - The Journal of Contents Computing, 2019 - dbpia.co.kr
4K or ultra-high-definition (UHD) will be the standard for video streaming in the next decade.
In this research, we carry a study on dynamic adaptive streaming over HTTP (DASH) which …

Deadline-aware transmission control for real-time video streaming

L Zhang, Y Cui, J Pan, Y Jiang - 2021 IEEE 29th International …, 2021 - ieeexplore.ieee.org
The deadline requirements of real-time applications rapidly increase in recent years (eg,
cloud gaming, cloud VR, online conferencing). Due to diverse network conditions, meeting …

Optimizing QoE in IoT-Based Video Streaming through Deep Learning Algorithms

M Darwich, K Khalil, M Bayoumi - … International Conference on …, 2024 - ieeexplore.ieee.org
The demand for video streaming services over Internet of Things (IoT) networks has surged,
yet maintaining a high Quality of Experience (QoE) remains challenging due to network …

Machine learning-based qoe performance analysis for dash streaming in nfv

L Van Ma, A Ashiquzzaman, SW Kim, D Lee… - Proceedings of KIIT …, 2018 - dbpia.co.kr
In this research, we present a machine learning-based research for QoE evaluation method
which mainly focuses on DASH streaming in NFV. In detail, we virtualize each component of …