Learning tailored adaptive bitrate algorithms to heterogeneous network conditions: A domain-specific priors and meta-reinforcement learning approach

T Huang, C Zhou, RX Zhang, C Wu… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Internet adaptive video streaming is a typical form of video delivery that leverages adaptive
bitrate (ABR) algorithms to provide video services with high quality of experience (QoE) for …

QAVA: QoE-aware adaptive video bitrate aggregation for HTTP live streaming based on smart edge computing

X Ma, Q Li, L Zou, J Peng, J Zhou, J Chai… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Currently video streaming in heterogeneous network environments is affected by limited
network bandwidth availability and consequent low and variable user Quality of Experience …

Improving quality of experience by adaptive video streaming with super-resolution

Y Zhang, Y Zhang, Y Wu, Y Tao, K Bian… - … -IEEE Conference on …, 2020 - ieeexplore.ieee.org
Given high-speed mobile Internet access today, audiences are expecting much higher video
quality than before. Video service providers have deployed dynamic video bitrate adaptation …

A super-resolution flexible video coding solution for improving live streaming quality

Q Li, Y Chen, A Zhang, Y Jiang, L Zou… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In the context of the latest growing popularity of live video streaming, ensuring high video
quality has become one of the most significant challenges faced by all live streaming …

Aggcast: Practical cost-effective scheduling for large-scale cloud-edge crowdsourced live streaming

RX Zhang, C Yang, X Wang, T Huang, C Wu… - Proceedings of the 30th …, 2022 - dl.acm.org
Conventional wisdom claims that in order to improve viewer engagement, the cloud-edge
providers should serve the viewers with the nearest edge nodes, however, we show that …

Adaptive video streaming in multi-tier computing networks: Joint edge transcoding and client enhancement

S Wang, J Yang, S Bi - IEEE Transactions on Mobile Computing, 2023 - ieeexplore.ieee.org
With the advancement of multimedia technology and wireless networks, there is a growing
demand for high-quality video streaming. Delivering stable video streaming in extremely …

TCLiVi: Transmission control in live video streaming based on deep reinforcement learning

L Cui, D Su, S Yang, Z Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Currently, video content accounts for the majority of network traffic. With increased live
streaming, rigorous requirements have been introduced for better Quality of Experience …

{LiFteR}: Unleash Learned Codecs in Video Streaming with Loose Frame Referencing

B Chen, Z Yan, Y Zhang, Z Yang… - 21st USENIX Symposium …, 2024 - usenix.org
Video codecs are essential for video streaming. While traditional codecs like AVC and
HEVC are successful, learned codecs built on deep neural networks (DNNs) are gaining …

Higher quality live streaming under lower uplink bandwidth: an approach of super-resolution based video coding

Y Chen, Q Li, A Zhang, L Zou, Y Jiang, Z Xu… - Proceedings of the 31st …, 2021 - dl.acm.org
With the growing popularity of live streaming, high video quality and low latency with limited
uplink bandwidth have become a significant challenge. In this study, we propose Live S uper …

Zwei: A self-play reinforcement learning framework for video transmission services

T Huang, RX Zhang, L Sun - IEEE Transactions on Multimedia, 2021 - ieeexplore.ieee.org
Video transmission services adopt adaptive algorithms to ensure users' demands. Existing
techniques are often optimized and evaluated by a function that linearly combines several …