A Reinforcement Learning-Based Automatic Video Editing Method Using Pre-trained Vision-Language Model

Author:

Hu Panwen1ORCID,Xiao Nan1ORCID,Li Feifei1ORCID,Chen Yongquan1ORCID,Huang Rui1ORCID

Affiliation:

1. The Chinese University of Hong Kong, Shenzhen, Shenzhen, China

Funder

Shenzhen Science and Technology Program

Publisher

ACM

Reference52 articles.

1. AutoPhoto: Aesthetic Photo Capture using Reinforcement Learning

2. Automatic editing of footage from multiple social cameras

3. Dawit Mureja Argaw , Fabian Caba Heilbron , Joon-Young Lee , Markus Woodson , and In So Kweon . 2022 . The anatomy of video editing: A dataset and benchmark suite for ai-assisted video editing. In Computer Vision-ECCV 2022: 17th European Conference , Tel Aviv , Israel, October 23-27, 2022, Proceedings, Part VIII. Springer, 201--218. Dawit Mureja Argaw, Fabian Caba Heilbron, Joon-Young Lee, Markus Woodson, and In So Kweon. 2022. The anatomy of video editing: A dataset and benchmark suite for ai-assisted video editing. In Computer Vision-ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VIII. Springer, 201--218.

4. Automatic Production System of Soccer Sports Video by Digital Camera Work Based on Situation Recognition

5. Sophia Bano and Andrea Cavallaro . 2016. ViComp: composition of user-generated videos. Multimedia tools and applications 75, 12 ( 2016 ), 7187--7210. Sophia Bano and Andrea Cavallaro. 2016. ViComp: composition of user-generated videos. Multimedia tools and applications 75, 12 (2016), 7187--7210.

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