automatic video editing
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Author(s):  
Xinrong Zhang ◽  
Yanghao Li ◽  
Yuxing Han ◽  
Jiangtao Wen

Video editing is a high-required job, for it requires skilled artists or workers equipped with plentiful physical strength and multidisciplinary knowledge, such as cinematography, aesthetics. Thus gradually, more and more researches focus on proposing semi-automatical and even fully automatical solutions to reduce workloads. Since those conventional methods are usually designed to follow some simple guidelines, they lack flexibility and capability to learn complex ones. Fortunately, the advances of computer vision and machine learning make up the shortages of traditional approaches and make AI editing feasible. There is no survey to conclude those emerging researches yet. This paper summaries the development history of automatic video editing, and especially the applications of AI in partial and full workflows. We emphasizes video editing and discuss related works from multiple aspects: modality, type of input videos, methology, optimization, dataset, and evaluation metric. Besides, we also summarize the progresses in image editing domain, i.e., style transferring, retargeting, and colorization, and seek for the possibility to transfer those techniques to video domain. Finally, we give a brief conclusion about this survey and explore some open problems.


Author(s):  
Junhua Liao ◽  
Haihan Duan ◽  
Xin Li ◽  
Haoran Xu ◽  
Yanbing Yang ◽  
...  

Author(s):  
EDIRLEI SOARES DE LIMA ◽  
BRUNO FEIJO ◽  
ANTONIO LUZ FURTADO ◽  
ANGELO ERNANI MAIA CIARLINI ◽  
CESAR TADEU POZZER

Author(s):  
Colin Le Nost ◽  
Florent Lefevre ◽  
Vincent Bombardier ◽  
Patrick Charpentier ◽  
Nicolas Krommenacker ◽  
...  

Author(s):  
Edirlei Soares de Lima ◽  
Bruno Feijo ◽  
Antonio L. Furtado ◽  
Angelo Ciarlini ◽  
Cesar Pozzer

Author(s):  
Tinghuai Wang ◽  
Andrew Mansfield ◽  
Rui Hu ◽  
John P. Collomosse

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