A survey on multi-access edge computing applied to video streaming: Some research issues and challenges

X Jiang, FR Yu, T Song… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Driven by the quality of experience (QoE) requirement of video streaming applications in the
smart city, smart education, immersive service, and connected vehicle scenarios, the …

Video processing using deep learning techniques: A systematic literature review

V Sharma, M Gupta, A Kumar, D Mishra - IEEE Access, 2021 - ieeexplore.ieee.org
Studies show lots of advanced research on various data types such as image, speech, and
text using deep learning techniques, but nowadays, research on video processing is also an …

A survey on mobile edge computing for video streaming: Opportunities and challenges

MA Khan, E Baccour, Z Chkirbene, A Erbad… - IEEE …, 2022 - ieeexplore.ieee.org
5G communication brings substantial improvements in the quality of service provided to
various applications by achieving higher throughput and lower latency. However, interactive …

An efficient and outsourcing-supported attribute-based access control scheme for edge-enabled smart healthcare

H Zhong, Y Zhou, Q Zhang, Y Xu, J Cui - Future Generation Computer …, 2021 - Elsevier
In recent years, the continuous development of smart healthcare has brought substantial
convenience to our lives, especially for emerging edge-enabled smart healthcare systems …

Intelligent resource allocation for video analytics in blockchain-enabled internet of autonomous vehicles with edge computing

X Jiang, FR Yu, T Song… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Video surveillance in intelligent transportation systems (ITSs) is in the rapid growth stage,
where video analytics is a potential technology to improve the safety of the Internet of …

Vabus: Edge-cloud real-time video analytics via background understanding and subtraction

H Wang, Q Li, H Sun, Z Chen, Y Hao… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Edge-cloud collaborative video analytics is transforming the way data is being handled,
processed, and transmitted from the ever-growing number of surveillance cameras around …

Multi-exit DNN inference acceleration based on multi-dimensional optimization for edge intelligence

F Dong, H Wang, D Shen, Z Huang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Edge intelligence, as a prospective paradigm for accelerating DNN inference, is mostly
implemented by model partitioning which inevitably incurs the large transmission overhead …

Evaluating the roadmap of 5G technology implementation for smart building and facilities management in Singapore

MYL Chew, EAL Teo, KW Shah, V Kumar, GF Hussein - Sustainability, 2020 - mdpi.com
The concepts of smart building (SB) and smart facilities management (SFM) are crucial as
they aim to uplift occupants' living standards through information and communication …

RES: Real-time video stream analytics using edge enhanced clouds

M Ali, A Anjum, O Rana, AR Zamani… - … on Cloud Computing, 2020 - ieeexplore.ieee.org
With increasing availability and use of Internet of Things (IoT) devices such as sensors and
video cameras, large amounts of streaming data is now being produced at high velocity …

A survey of video surveillance systems in smart city

Y Myagmar-Ochir, W Kim - Electronics, 2023 - mdpi.com
Smart cities are being developed worldwide with the use of technology to improve the
quality of life of citizens and enhance their safety. Video surveillance is a key component of …