Deep neural network–based enhancement for image and video streaming systems: A survey and future directions

R Lee, SI Venieris, ND Lane - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
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 …

A Survey on Intelligent Solutions for Increased Video Delivery Quality in Cloud-Edge-End Networks

W Shi, Q Li, Q Yu, F Wang, G Shen… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
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 …

Lightweight image super-resolution based on deep learning: State-of-the-art and future directions

G Gendy, G He, N Sabor - Information Fusion, 2023 - Elsevier
Abstract Recently, super-resolution (SR) techniques based on deep learning have taken
more and more attention, aiming to improve the images and videos resolutions. Most of the …

Attfl: A personalized federated learning framework for time-series mobile and embedded sensor data processing

JY Park, K Lee, S Lee, M Zhang, JG Ko - Proceedings of the ACM on …, 2023 - dl.acm.org
This work presents AttFL, a federated learning framework designed to continuously improve
a personalized deep neural network for efficiently analyzing time-series data generated from …

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 …

Asymmetric dual-direction quasi-recursive network for single hyperspectral image super-resolution

H Wang, C Wang, Y Yuan - … on Circuits and Systems for Video …, 2023 - ieeexplore.ieee.org
Single hyperspectral image super-resolution aims to reconstruct a high-resolution
hyperspectral image from a low-resolution one, which does not use any auxiliary images …

Modeling the trade-off of privacy preservation and activity recognition on low-resolution images

Y Wang, Z Cheng, X Yi, Y Kong, X Wang, X Xu… - Proceedings of the …, 2023 - dl.acm.org
A computer vision system using low-resolution image sensors can provide intelligent
services (eg, activity recognition) but preserve unnecessary visual privacy information from …

Masked360: Enabling robust 360-degree video streaming with ultra low bandwidth consumption

Z Luo, B Chai, Z Wang, M Hu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
360-degree video streaming has gained tremendous growth over the past years. However,
the delivery of 360-degree videos over the Internet still suffers from the scarcity of network …

Collapsible linear blocks for super-efficient super resolution

K Bhardwaj, M Milosavljevic, L O'Neil… - … of machine learning …, 2022 - proceedings.mlsys.org
With the advent of smart devices that support 4K and 8K resolution, Single Image Super
Resolution (SISR) has become an important computer vision problem. However, most super …

Adaptive computation offloading for mobile augmented reality

J Ren, L Gao, X Wang, M Ma, G Qiu, H Wang… - Proceedings of the …, 2021 - dl.acm.org
Augmented reality (AR) underpins many emerging mobile applications, but it increasingly
requires more computation power for better machine understanding and user experience …