Edge-assisted real-time video analytics with spatial–temporal redundancy suppression

Personalized and differential privacy-aware video stream offloading in mobile edge computing

P Zhao, Z Yang, G Zhang - IEEE Transactions on Cloud …, 2024 - ieeexplore.ieee.org
In Mobile Edge Computing (MEC), the collaboration between end devices and servers
guarantees the low-latency and high-accuracy video stream analysis. However, such …
被引用次数：3 相关文章 所有 3 个版本
[PDF] thecvf.com

Content-aware Input Scaling and Deep Learning Computation Offloading for Low-Latency Embedded Vision

O Prabhune, T Chen, Y Kim - Proceedings of the IEEE/CVF …, 2024 - openaccess.thecvf.com
Deploying deep learning (DL) models for visual recognition on embedded systems is often
constrained by their limited compute power and storage capacity and has stringent latency …
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Dependence-Aware Multi-Task Scheduling for Edge Video Analytics With Accuracy Guarantee

C Wang, P Yang, J Hou, Z Liu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
In this paper, we investigate the optimal configuration and dependence-aware task
assignment for multi-task edge video analytics. Multi-task video analytics involves multiple …
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[PDF] arxiv.org

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 …
相关文章 所有 2 个版本

On-Edge High-Throughput Collaborative Inference for Real-Time Video Analytics

X Wang, M Shen, K Yang - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Performing video analytics tasks based on deep neural networks (DNN) on resource-
constrained mobile devices is extremely challenging because of the huge volume of video …
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