Learning tailored adaptive bitrate algorithms to heterogeneous network conditions: A domain-specific priors and meta-reinforcement learning approach
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 …
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
Currently video streaming in heterogeneous network environments is affected by limited
network bandwidth availability and consequent low and variable user Quality of Experience …
network bandwidth availability and consequent low and variable user Quality of Experience …
Improving quality of experience by adaptive video streaming with super-resolution
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 …
quality than before. Video service providers have deployed dynamic video bitrate adaptation …
A super-resolution flexible video coding solution for improving live streaming quality
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 …
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
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 …
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
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 …
demand for high-quality video streaming. Delivering stable video streaming in extremely …
TCLiVi: Transmission control in live video streaming based on deep reinforcement learning
Currently, video content accounts for the majority of network traffic. With increased live
streaming, rigorous requirements have been introduced for better Quality of Experience …
streaming, rigorous requirements have been introduced for better Quality of Experience …
{LiFteR}: Unleash Learned Codecs in Video Streaming with Loose Frame Referencing
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 …
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
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 …
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
Video transmission services adopt adaptive algorithms to ensure users' demands. Existing
techniques are often optimized and evaluated by a function that linearly combines several …
techniques are often optimized and evaluated by a function that linearly combines several …