Automated video editing based on learned styles using LSTM-GAN-Reference-Cited by-同舟云学术

Automated video editing based on learned styles using LSTM-GAN

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing
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Author:

Huang Hsin-I¹,Shih Chi-Sheng¹,Yang Zi-Lin¹

Affiliation:

1. National Taiwan University, Taipei, Taiwan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3477314.3507141

Reference19 articles.

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3. Ian J. Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial networks. cite arxiv:1406.2661. (2014). http://arxiv.org/abs/1406.2661. Ian J. Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial networks. cite arxiv:1406.2661. (2014). http://arxiv.org/abs/1406.2661.

4. Unsupervised Video Summarization with Adversarial LSTM Networks

5. T. Fu , S. Tai , and H. Chen . 2019. Attentive and adversarial learning for video summarization . In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1579--1587 . T. Fu, S. Tai, and H. Chen. 2019. Attentive and adversarial learning for video summarization. In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1579--1587.