PopStage

Author:

Lee Dawon1,Yoo Jung Eun1,Cho Kyungmin2,Kim Bumki3,Im Gyeonghun2,Noh Junyong1

Affiliation:

1. KAIST, South Korea

2. KAIST and Anigma Technologies, South Korea

3. KAIST and KAI Inc., South Korea

Abstract

StageMix is a mixed video that is created by concatenating the segments from various performance videos of an identical song in a visually smooth manner by matching the main subject's silhouette presented in the frame. We introduce PopStage , which allows users to generate a StageMix automatically. PopStage is designed based on the StageMix Editing Guideline that we established by interviewing creators as well as observing their workflows. PopStage consists of two main steps: finding an editing path and generating a transition effect at a transition point. Using a reward function that favors visual connection and the optimality of transition timing across the videos, we obtain the optimal path that maximizes the sum of rewards through dynamic programming. Given the optimal path, PopStage then aligns the silhouettes of the main subject from the transitioning video pair to enhance the visual connection at the transition point. The virtual camera view is next optimized to remove the black areas that are often created due to the transformation needed for silhouette alignment, while reducing pixel loss. In this process, we enforce the view to be the maximum size while maintaining the temporal continuity across the frames. Experimental results show that PopStage can generate a StageMix of a similar quality to those produced by professional creators in a highly reduced production time.

Funder

Korea government

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Reference45 articles.

1. Automatic editing of footage from multiple social cameras

2. Jiamin Bai , Aseem Agarwala , Maneesh Agrawala , and Ravi Ramamoorthi . 2014. User-Assisted Video Stabilization . In Computer Graphics Forum , Vol. 33 . Wiley Online Library , 61--70. Jiamin Bai, Aseem Agarwala, Maneesh Agrawala, and Ravi Ramamoorthi. 2014. User-Assisted Video Stabilization. In Computer Graphics Forum, Vol. 33. Wiley Online Library, 61--70.

3. 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.

4. Thaddeus Beier and Shawn Neely . 1992. Feature-based image metamorphosis. ACM SIGGRAPH computer graphics 26, 2 ( 1992 ), 35--42. Thaddeus Beier and Shawn Neely. 1992. Feature-based image metamorphosis. ACM SIGGRAPH computer graphics 26, 2 (1992), 35--42.

5. Dimitri P Bertsekas etal 2000. Dynamic programming and optimal control: Vol. 1. Athena scientific Belmont. Dimitri P Bertsekas et al. 2000. Dynamic programming and optimal control: Vol. 1. Athena scientific Belmont.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3