Opportunities, applications, and challenges of edge-AI enabled video analytics in smart cities: a systematic review

E Badidi, K Moumane, F El Ghazi - IEEE Access, 2023 - ieeexplore.ieee.org
Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …

Internet-of-Things Edge Computing Systems for Streaming Video Analytics: Trails Behind and the Paths Ahead

AA Ravindran - IoT, 2023 - mdpi.com
The falling cost of IoT cameras, the advancement of AI-based computer vision algorithms,
and powerful hardware accelerators for deep learning have enabled the widespread …

Towards Timely Video Analytics Services at the Network Edge

X Li, S Zhang, Y Huang, X Ma… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Real-time video analytics services aim to provide users with accurate recognition results
timely. However, existing studies usually fall into the dilemma between reducing delay and …

Edge Computing Systems for Streaming Video Analytics: Trail Behind and the Paths Ahead

AA Ravindran - 2023 - preprints.org
The falling cost of cameras, the advancement of AI based computer vision algorithms, and
powerful hardware accelerators for deep learning have enabled wide-spread deployment of …

Optimizing live video streaming: Integrating 5G, IoT, and cloud computing with machine learning

L Srinivasan, H Nishat, S Shargunam… - Internet Technology … - Wiley Online Library
In this research, we optimize live video broadcast performance by incorporating advanced
technologies such as 5G, the Internet of Things (IoT), and cloud computing. Our approach …