Stagemix video generation using face and body keypoints detection
- Authors
- Jung, Minjoon; Lee, Seunghyun; Sim, Eun Seon; Jo, Min Ho; Lee, Yu Jin; Choi, Hye Bin; Kwon, Junseok
- Issue Date
- Nov-2022
- Publisher
- SPRINGER
- Keywords
- Pose estimation; Stagemix video; Video preprocessing
- Citation
- MULTIMEDIA TOOLS AND APPLICATIONS, v.81, no.27, pp 38531 - 38542
- Pages
- 12
- Journal Title
- MULTIMEDIA TOOLS AND APPLICATIONS
- Volume
- 81
- Number
- 27
- Start Page
- 38531
- End Page
- 38542
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/57824
- DOI
- 10.1007/s11042-022-13103-8
- ISSN
- 1380-7501
1432-1882
- Abstract
- Playing multiple stage videos of a particular singer as if they are one is called Stagemix video. The consumption of video media has increased recently, and the demand for video editing has also increased. Stagemix videos have gained popularity in various communities, and a number of YouTubers who upload videos with cross-cuts are appearing. In this work, we introduce a novel task, Stagemix video generation. Stagemix video generation requires considerable time and skillful editing skills. To address this, we suggest a method of auto-generating Stagemix video, a novel technique that plays multiple stage videos of a particular singer as if they are one. Our novel methods automatically generate a Stagemix video and improve performance with face or body keypoints which is extracted by CNN-based extractor. Quantitative differences between frames and creation time show that our methods effectively produce a natural video.
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- Appears in
Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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