Progressive Video Summarization via Multimodal Self-supervised Learning-Reference-Cited by-同舟云学术

Progressive Video Summarization via Multimodal Self-supervised Learning

Published:2023-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
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Author:

Li Haopeng¹,Ke Qiuhong²,Gong Mingming³,Drummond Tom¹

Affiliation:

1. The University of Melbourne,School of Computing and Information Systems

2. Monash University,Department of Data Science & AI

3. The University of Melbourne,School of Mathematics and Statistics

Funder

University of Melbourne

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10030081/10030084/10031001.pdf?arnumber=10031001

Reference47 articles.

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3. Tvsum: Summarizing web videos using titles;song;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2015

4. Creating Summaries from User Videos

5. Self-supervised visual feature learning with deep neural networks: A survey;jing;IEEE Transactions on Pattern Analysis and Machine Intelligence,2020

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