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Deep neural network–based enhancement for image and video streaming systems: A survey and future directions
Internet-enabled smartphones and ultra-wide displays are transforming a variety of visual
apps spanning from on-demand movies and 360° videos to video-conferencing and live …
apps spanning from on-demand movies and 360° videos to video-conferencing and live …
A Survey on Intelligent Solutions for Increased Video Delivery Quality in Cloud-Edge-End Networks
The digital age has brought a significant increase in video traffic. This traffic growth, driven
by rapid internet advancements and a surge in multimedia applications, presents both …
by rapid internet advancements and a surge in multimedia applications, presents both …
Learning in situ: a randomized experiment in video streaming
We describe the results of a randomized controlled trial of video-streaming algorithms for
bitrate selection and network prediction. Over the last year, we have streamed 38.6 years of …
bitrate selection and network prediction. Over the last year, we have streamed 38.6 years of …
Xlink: Qoe-driven multi-path quic transport in large-scale video services
We report XLINK, a multi-path QUIC video transport solution with experiments in Taobao
short videos. XLINK is designed to meet two operational challenges at the same time:(1) …
short videos. XLINK is designed to meet two operational challenges at the same time:(1) …
Neural-enhanced live streaming: Improving live video ingest via online learning
Live video accounts for a significant volume of today's Internet video. Despite a large
number of efforts to enhance user quality of experience (QoE) both at the ingest and …
number of efforts to enhance user quality of experience (QoE) both at the ingest and …
Cloud-device collaborative learning for multimodal large language models
The burgeoning field of Multimodal Large Language Models (MLLMs) has exhibited
remarkable performance in diverse tasks such as captioning commonsense reasoning and …
remarkable performance in diverse tasks such as captioning commonsense reasoning and …
OnRL: Improving mobile video telephony via online reinforcement learning
Machine learning models, particularly reinforcement learning (RL), have demonstrated great
potential in optimizing video streaming applications. However, the state-of-the-art solutions …
potential in optimizing video streaming applications. However, the state-of-the-art solutions …
Tambur: Efficient loss recovery for videoconferencing via streaming codes
Packet loss degrades the quality of experience (QoE) of videoconferencing. The standard
approach to recovering lost packets for long-distance communication where retransmission …
approach to recovering lost packets for long-distance communication where retransmission …
Nemo: enabling neural-enhanced video streaming on commodity mobile devices
The demand for mobile video streaming has experienced tremendous growth over the last
decade. However, existing methods of video delivery fall short of delivering high-quality …
decade. However, existing methods of video delivery fall short of delivering high-quality …
Achieving consistent low latency for wireless real-time communications with the shortest control loop
Real-time communication (RTC) applications like video conferencing or cloud gaming
require consistent low latency to provide a seamless interactive experience. However …
require consistent low latency to provide a seamless interactive experience. However …