HAVS: Human action-based video summarization, Taxonomy, Challenges, and Future Perspectives-Reference-Cited by-同舟云学术

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HAVS: Human action-based video summarization, Taxonomy, Challenges, and Future Perspectives

Published:2021-09-24 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
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Author:

Sabha Ambreen,Selwal Arvind

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9633340/9633772/09633804.pdf?arnumber=9633804

Cited by 7 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. Image embedding and user multi-preference modeling for data collection sampling;EURASIP Journal on Advances in Signal Processing;2023-10-18

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

4. CoSumNet: A video summarization-based framework for COVID-19 monitoring in crowded scenes;Artificial Intelligence in Medicine;2023-05

5. Data-driven enabled approaches for criteria-based video summarization: a comprehensive survey, taxonomy, and future directions;Multimedia Tools and Applications;2023-03-02

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