Conceptual structure and current trends in artificial intelligence, machine learning, and deep learning research in sports: a bibliometric review

C Dindorf, E Bartaguiz, F Gassmann… - International Journal of …, 2022 - mdpi.com
Artificial intelligence and its subcategories of machine learning and deep learning are
gaining increasing importance and attention in the context of sports research. This has also …

Intelligent aerial video streaming: Achievements and challenges

TV Nguyen, NP Nguyen, C Kim, NN Dao - Journal of Network and …, 2023 - Elsevier
Deploying aerial infrastructure to support traditional terrestrial wireless communications has
enhanced the maturity of 5G networks and beyond. This improvement has certainly …

Decentralized optimization for multicast adaptive video streaming in edge cache-assisted networks

L Zhong, M Wang, C Xu, S Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Adaptive streaming based on DASH offers personalized video experience and smooth
playback by allowing dynamical adjustments of the video bitrate to the variations of network …

Fleet: Improving quality of experience for low-latency live video streaming

Y Li, X Zhang, C Cui, S Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Low-latency live video streaming proposes more challenges on designing Adaptive Bit Rate
(ABR) algorithms than video-on-demand streaming. In this paper, we present Fleet, a …

ALVS: Adaptive Live Video Streaming using deep reinforcement learning

IM Ozcelik, C Ersoy - Journal of Network and Computer Applications, 2022 - Elsevier
Achieving a high Quality of Experience (QoE) in live event streaming is a challenging
problem given a low-latency requirement and time-varying network conditions. Adaptive …

Edge-based video surveillance with graph-assisted reinforcement learning in smart construction

Z Ming, J Chen, L Cui, S Yang, Y Pan… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The smart construction site is developing rapidly with the intelligentization of industrial
management. Intelligent devices are being widely deployed in construction industry to …

Augmented queue-based transmission and transcoding optimization for livecast services based on cloud-edge-crowd integration

X Chen, C Xu, M Wang, Z Wu, L Zhong… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Nowadays, amateur broadcasters can massively generate video contents and stream them
across the Internet. For this reason, crowdsourced livecast services (CLS) are attracting …

Low-Latency Live Video Streaming over a Low-Earth-Orbit Satellite Network with DASH

J Zhao, J Pan - Proceedings of the 15th ACM Multimedia Systems …, 2024 - dl.acm.org
In light of Starlink's recent rapid growth in constructing a global low-Earth-orbit satellite
constellation and offering high-speed, low-latency Internet services, the implications of …

Quantum Reinforcement Learning for Spatio-Temporal Prioritization in Metaverse

S Park, H Baek, J Kim - IEEE Access, 2024 - ieeexplore.ieee.org
A metaverse is composed of a physical-space and virtual-space, with the aim of having
users in both the virtual reality and the real world experience. Prioritization is essential, but it …

A deep reinforcement learning quality optimization framework for multimedia streaming over 5G networks

A Río, J Serrano, D Jimenez, LM Contreras, F Alvarez - Applied Sciences, 2022 - mdpi.com
Media applications are amongst the most demanding services. They require high amounts
of network capacity as well as computational resources for synchronous high-quality audio …