Latency-Aware 360-Degree Video Analytics Framework for First Responders Situational Awareness-Reference-Cited by-同舟云学术

Latency-Aware 360-Degree Video Analytics Framework for First Responders Situational Awareness

Published:2023-06-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 33rd Workshop on Network and Operating System Support for Digital Audio and Video
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Author:

Li Jiaxi¹^ORCID,Liao Jingwei²^ORCID,Chen Bo³^ORCID,Nguyen Anh⁴^ORCID,Tiwari Aditi³^ORCID,Zhou Qian³^ORCID,Yan Zhisheng²^ORCID,Nahrstedt Klara³^ORCID

Affiliation:

1. Computer Science, University of Illinois Urbana-Champaign, Urbana, Illinois, United States of America

2. George Mason University, Fairfax, Virginia, USA

3. Computer Science, University of Illinois Urbana-Champaign, Urbana, Illinois, USA

4. George Mason University, Fairfax, Virginia, United States of America

Funder

National Science Foundation

Publisher

ACM

Reference27 articles.

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5. Ross Girshick . 2015 . Fast R-CNN. In Proceedings of the IEEE international conference on computer vision. 1440--1448 . Ross Girshick. 2015. Fast R-CNN. In Proceedings of the IEEE international conference on computer vision. 1440--1448.

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