Global–local spatio-temporal graph convolutional networks for video summarization-Reference-Cited by-同舟云学术

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Global–local spatio-temporal graph convolutional networks for video summarization

Published:2024-09 Issue: Volume:118 Page:109445
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Wu Guangli^ORCID,Song Shanshan^ORCID,Zhang Jing^ORCID

Publisher

Elsevier BV

Reference36 articles.

1. Video summarization using deep neural networks: A survey;Apostolidis;Proc IEEE,2021

2. A survey of recent work on video summarization: approaches and techniques;Tiwari;Multimedia Tools Appl,2021

3. A review on video summarization techniques;Meena;Eng Appl Artif Intell,2023

4. A comprehensive study of automatic video summarization techniques;Gupta;Artif Intell Rev,2023

5. Generative adversarial networks: A survey on attack and defense perspective;Zhang;ACM Comput Surv,2023

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