An Edge-Side Real-Time Video Analytics System With Dual Computing Resource Control-Reference-Cited by-同舟云学术

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An Edge-Side Real-Time Video Analytics System With Dual Computing Resource Control

Published:2023-12 Issue:12 Volume:72 Page:3399-3415
ISSN:0018-9340
Container-title:IEEE Transactions on Computers
language:
Short-container-title:IEEE Trans. Comput.

Author:

Hu Chuang¹^ORCID,Lu Rui²^ORCID,Sang Qianlong¹^ORCID,Liang Huanghuang¹^ORCID,Wang Dan²^ORCID,Cheng Dazhao¹^ORCID,Zhang Jin³^ORCID,Li Qing⁴^ORCID,Peng JunKun⁵^ORCID

Affiliation:

1. School of Computer Science, Wuhan University, Wuhan, China

2. Hong Kong Polytechnic University, Hong Kong

3. Southern University of Science and Technology, Shenzhen, China

4. Peng Cheng Laboratory, Shenzhen, China

5. Tsinghua University, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software

Link

http://xplorestaging.ieee.org/ielx7/12/10311055/10202178.pdf?arnumber=10202178

Reference42 articles.

1. Visor: Privacy-preserving video analytics as a cloud service;poddar;Proc USENIX Secur Virtual Event,0

2. Exploring HW/SW Co-Design for Video Analysis on CPU-FPGA Heterogeneous Systems

3. Reducto

4. Multi-View Scheduling of Onboard Live Video Analytics to Minimize Frame Processing Latency

5. FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras

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