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 …
NELoRa: Towards ultra-low SNR LoRa communication with neural-enhanced demodulation
Low-Power Wide-Area Networks (LPWANs) are an emerging Internet-of-Things (IoT)
paradigm marked by low-power and long-distance communication. Among them, LoRa is …
paradigm marked by low-power and long-distance communication. Among them, LoRa is …
Melon: Breaking the memory wall for resource-efficient on-device machine learning
On-device learning is a promising technique for emerging privacy-preserving machine
learning paradigms. However, through quantitative experiments, we find that commodity …
learning paradigms. However, through quantitative experiments, we find that commodity …
Neuroscaler: Neural video enhancement at scale
High-definition live streaming has experienced tremendous growth. However, the video
quality of live video is often limited by the streamer's uplink bandwidth. Recently, neural …
quality of live video is often limited by the streamer's uplink bandwidth. Recently, neural …
Mandheling: Mixed-precision on-device dnn training with dsp offloading
This paper proposes Mandheling, the first system that enables highly resource-efficient on-
device training by orchestrating mixed-precision training with on-chip Digital Signal …
device training by orchestrating mixed-precision training with on-chip Digital Signal …
A comprehensive benchmark of deep learning libraries on mobile devices
Deploying deep learning (DL) on mobile devices has been a notable trend in recent years.
To support fast inference of on-device DL, DL libraries play a critical role as algorithms and …
To support fast inference of on-device DL, DL libraries play a critical role as algorithms and …
Loki: improving long tail performance of learning-based real-time video adaptation by fusing rule-based models
H Zhang, A Zhou, Y Hu, C Li, G Wang… - Proceedings of the 27th …, 2021 - dl.acm.org
Maximizing the quality of experience (QoE) for real-time video is a long-standing challenge.
Traditional video transport protocols, represented by a few deterministic rules, can hardly …
Traditional video transport protocols, represented by a few deterministic rules, can hardly …
Metastream: Live volumetric content capture, creation, delivery, and rendering in real time
While recent work explored streaming volumetric content on-demand, there is little effort on
live volumetric video streaming that bears the potential of bringing more exciting …
live volumetric video streaming that bears the potential of bringing more exciting …
A comprehensive deep learning library benchmark and optimal library selection
Deploying deep learning (DL) on mobile devices has been a notable trend in recent years.
To support fast inference of on-device DL, DL libraries play a critical role as algorithms and …
To support fast inference of on-device DL, DL libraries play a critical role as algorithms and …
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 …