EdgeVision: Towards Collaborative Video Analytics on Distributed Edges for Performance Maximization-Reference-Cited by-同舟云学术

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EdgeVision: Towards Collaborative Video Analytics on Distributed Edges for Performance Maximization

Published:2024 Issue: Volume:26 Page:9083-9094
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Gao Guanyu¹^ORCID,Dong Yuqi¹^ORCID,Wang Ran²^ORCID,Zhou Xin³^ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

2. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

3. School of Communications and Electronics, Jiangxi Science and Technology Normal University, Nanchang, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6046/10384483/10533715.pdf?arnumber=10533715

Reference49 articles.

1. PicWords: Render a Picture by Packing Keywords

2. Joint Model and Data Adaptation for Cloud Inference Serving

3. CDFKD-MFS: Collaborative Data-Free Knowledge Distillation via Multi-Level Feature Sharing

4. Speeding-Up Age Estimation in Intelligent Demographics System via Network Optimization

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