FEVA: A Federated Video Analytics Architecture for Networked Smart Cameras-Reference-Cited by-同舟云学术

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FEVA: A Federated Video Analytics Architecture for Networked Smart Cameras

Published:2021-11 Issue:6 Volume:35 Page:163-170
ISSN:0890-8044
Container-title:IEEE Network
language:
Short-container-title:IEEE Network

Author:

Hu Chuang¹,Lu Rui¹,Wang Dan¹

Affiliation:

1. Hong Kong Polytechnic University

Funder

GRF

CRF

PolyU

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://xplorestaging.ieee.org/ielx7/65/9687459/09687522.pdf?arnumber=9687522

Reference15 articles.

1. Federated Learning

2. Adaptive multi-view feature selection for human motion retrieval

3. CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of Vehicles

4. Large-scale vehicle re-identification in urban surveillance videos

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1. Enhancing AR/VR Performance via Optimized Edge-based Object Detection for Connected Autonomous Vehicles;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

2. Federated Dynamic Client Selection for Fairness Guarantee in Heterogeneous Edge Computing;Journal of Computer Science and Technology;2024-01-30

3. FED-AT-VIDEO NETS - A Federated Capsule – Self Gated Learning Architecture for the Multi-View Video Summarization Technique.;2023-08-10

4. Federated HD Map Updating Through Overlapping Coalition Formation Game;IEEE Transactions on Mobile Computing;2023

5. Opportunities, Applications, and Challenges of Edge-AI Enabled Video Analytics in Smart Cities: A Systematic Review;IEEE Access;2023

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