Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques

Edge Intelligence for Internet of Vehicles: A Survey

G Yan, K Liu, C Liu, J Zhang - IEEE Transactions on Consumer …, 2024 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) has become a fundamental platform for advancing Intelligent
Transportation Systems (ITSs) and Intelligent Connected Vehicles (ICVs). However, the …
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Context-Aware Offloading for Edge-Assisted On-Device Video Analytics Through Online Learning Approach

P Dai, Y Chao, X Wu, K Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Edge computing has emerged as a powerful technology for enhancing the performance of
on-device video analytics, which is critical to support real-time applications. Nevertheless …
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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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RegionFilter: Region-aware video filtering mechanism on resource-constrained edge nodes

T Chen, Y Bu, Y Zeng, L Xie, S Lu - Computer Networks, 2024 - Elsevier
The video analytics pipeline consumes substantial network and computing resources, and in
many scenarios videos are sent from cameras to servers. Due to limited camera-side …
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[PDF][PDF] VATE: Edge-Cloud System for Object Detection in Real-Time Video Streams

M Maresch, S Nastic - dsg.tuwien.ac.at
In the realm of edge intelligence, emerging video analytics applications are often based on
resource constrained edge devices. These applications need systems which are able to …
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