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We propose an automatic approach that extracts editing styles in a source video and applies the edits to matched footage for video creation.
Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography
Martin A. Fischler and Robert C. Bolles · 1981
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Grammar of the film language
Daniel Arijon · 1991
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Simplifying video editing using metadata
Juan Casares, A. Chris Long, Brad A. Myers, Rishi Bhatnagar, Scott M. Stevens, Laura Dabbish, Dan Yocum, and Albert Corbett · 2002
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Faster and better: A machine learning approach to corner detection
E. Rosten, R. Porter, and T. Drummond · 2010
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Tools for placing cuts and transitions in interview video
Floraine Berthouzoz, Wilmot Li, and Maneesh Agrawala · 2012
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Film Art: An Introduction
David Bordwell and Kristin Thompson · 2013
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Democut: Generating concise instructional videos for physical demonstrations
Pei-Yu Chi, Joyce Liu, Jason Linder, Mira Dontcheva, Wilmot Li, and Björn Hartmann · 2013
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Grouping crowd-sourced mobile videos for cross-camera tracking
N. Frey and M. Antone · 2013
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Viral video style: A closer look at viral videos on youtube
Lu Jiang, Yajie Miao, Yi Yang, Zhenzhong Lan, and Alexander G. Hauptmann · 2014
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Leveraging contextual cues for generating basketball highlights
Vinay Bettadapura, Caroline Pantofaru, and Irfan Essa · 2016
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Quickcut: An interactive tool for editing narrated video
Anh Truong, Floraine Berthouzoz, Wilmot Li, and Maneesh Agrawala · 2016
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Coherent online video style transfer
D. Chen, J. Liao, L. Yuan, N. Yu, and G. Hua · 2017
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Controlling perceptual factors in neural style transfer
L. A. Gatys, A. S. Ecker, M. Bethge, A. Hertzmann, and E. Shechtman · 2017
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Characterizing and improving stability in neural style transfer
A. Gupta, J. Johnson, A. Alahi, and L. Fei-Fei · 2017
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Mobilenets: Efficient convolutional neural networks for mobile vision applications
Visual attribute transfer through deep image analogy
Jing Liao, Yuan Yao, Lu Yuan, Gang Hua, and Sing Bing Kang · 2017
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Text-based editing of talking-head video
Ohad Fried, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt, and Maneesh Agrawala · 2019
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Stylizing video by example
Ondřej Jamriška, Šárka Sochorová, Ondřej Texler, Michal Lukáč, Jakub Fišer, Jingwan Lu, Eli Shechtman, and Daniel Sýkora · 2019
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Learning temporal coherence via self-supervision for gan-based video generation
Mengyu Chu, You Xie, Jonas Mayer, Laura Leal-Taixé, and Nils Thuerey · 2020
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Interactive video stylization using few-shot patch-based training
Ondřej Texler, David Futschik, Michal kučera, Ondřej jamriška, Šárka Sochorová, Menclei Chai, Sergey Tulyakov, and Daniel SÝkora · 2020
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Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam · 2017
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Computational video editing for dialogue-driven scenes
Mackenzie Leake, Abe Davis, Anh Truong, and Maneesh Agrawala · 2017
Cited alongside, same era.
Universal style transfer via feature transforms
Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu, and Ming-Hsuan Yang · 2017
Cited alongside, same era.
Xide Xia, Meng Zhang, Tianfan Xue, Zheng Sun, Hui Fang, Brian Kulis, and Jiawen Chen · 2020
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Mediapipe: a cross-platform framework for building multimodal applied machine learning pipelines, 2021
Google Inc · 2021
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Automatic generation of two-level hierarchical tutorials from instructional makeup videos
Anh Truong, Peggy Chi, David Salesin, Irfan Essa, and Maneesh Agrawala · 2021
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