中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Automatic and real-time green screen keying

文献类型:期刊论文

作者Jin, Yue1; Li, Zhaoxin1; Zhu, Dengming1; Shi, Min2; Wang, Zhaoqi1
刊名VISUAL COMPUTER
出版日期2022-06-20
页码13
关键词Green screen keying Green spill removal Green screen dataset Real-time
ISSN号0178-2789
DOI10.1007/s00371-022-02542-x
英文摘要Green screen keying has always been an essential and fundamental part of film and television special effects. In the actual shooting process, captured green screen images vary significantly due to the comprehensive influence of lighting, shooting angle, green cloth material, characters, etc. In order to obtain visually pleasing effects, traditional methods usually require professionals to adjust the corresponding parameters with lots of workload for different images, which is inefficient. Meanwhile, there are tedious steps in dealing with the green spill problem. In this paper, we propose a deep learning-based green screen keying method which is automatic, effective, and real-time. Firstly, we create a green screen dataset that contains not only alpha and foreground maps but also samples with green spill phenomenon and a large number of distinct green screen backgrounds. Secondly, we propose an end-to-end network that can automatically tackle green screen keying and green spill removal problems. Our method only takes a single image as input without user interaction and estimates alpha and foreground simultaneously. Extensive experiments clearly demonstrate the superiority of our proposed method. Moreover, our method achieves approximately 75fps on 720P videos (1280 x 720) and 25fps on 1080P videos (1920 x 1080), which can be considered real-time for many applications.
资助项目National Key Research and Development Program of China[2020YFB1710400] ; National Natural Science Foundation of China[62172392] ; National Natural Science Foundation of China[61702482] ; Scientic Research Instrument and Equipment Development Project of Chinese Academy of Sciences[YJKYYQ20190055]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000813592000002
出版者SPRINGER
源URL[http://119.78.100.204/handle/2XEOYT63/19516]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Li, Zhaoxin
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
2.North China Elect Power Univ, Sch Control & Comp Engn, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Jin, Yue,Li, Zhaoxin,Zhu, Dengming,et al. Automatic and real-time green screen keying[J]. VISUAL COMPUTER,2022:13.
APA Jin, Yue,Li, Zhaoxin,Zhu, Dengming,Shi, Min,&Wang, Zhaoqi.(2022).Automatic and real-time green screen keying.VISUAL COMPUTER,13.
MLA Jin, Yue,et al."Automatic and real-time green screen keying".VISUAL COMPUTER (2022):13.

入库方式: OAI收割

来源:计算技术研究所

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