CoSumNet: A video summarization-based framework for COVID-19 monitoring in crowded scenes-Reference-Cited by-同舟云学术

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CoSumNet: A video summarization-based framework for COVID-19 monitoring in crowded scenes

Published:2023-05 Issue: Volume:139 Page:102544
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Sabha Ambreen,Selwal Arvind

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference50 articles.

1. WHO's monthly operational update on COVID-19;Uherbelau,2022

2. Driving impact in every country;WHO,2020

3. Weekly epidemiological update on COVID-19 - 29 June 2022 - Edition 98;WHO,2022

4. Data-driven enabled approaches for criteria-based video summarization: a comprehensive survey, taxonomy, and future directions;Sabha;Multimed Tools Appl,2023

5. HAVS: human action-based video summarization, taxonomy, challenges, and future perspectives;Sabha,2021

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel Approach for Audio-based Video Analysis via MFCC Features;Procedia Computer Science;2024

2. Domain adaptation assisted automatic real-time human-based video summarization;Engineering Applications of Artificial Intelligence;2023-09

3. Towards machine vision-based video analysis in smart cities: a survey, framework, applications and open issues;Multimedia Tools and Applications;2023-08-09

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