Crucio: End-to-End Coordinated Spatio-Temporal Redundancy Elimination for Fast Video Analytics-Reference-Cited by-同舟云学术

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Crucio: End-to-End Coordinated Spatio-Temporal Redundancy Elimination for Fast Video Analytics

Published:2024-05-20 Issue: Volume:1 Page:1191-1200
ISSN:
Container-title:IEEE INFOCOM 2024 - IEEE Conference on Computer Communications
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Author:

Zhu Andong¹,Zhang Sheng¹,Shi Xiaohang¹,Cheng Ke¹,Sun Hesheng¹,Lu Sanglu¹

Affiliation:

1. Nanjing University,State Key Laboratory for Novel Software Technology,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10621050/10621073/10621116.pdf?arnumber=10621116

Reference38 articles.

1. Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine;Kang

2. Real-Time Video Analytics: The Killer App for Edge Computing

3. Edge-assisted Online On-device Object Detection for Real-time Video Analytics

4. CrossRoI

5. Server-Driven Video Streaming for Deep Learning Inference

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