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DTSTART:18871231T000000
DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20230103T035307Z
LOCATION:Room 325-AB\, Level 3\, West Wing
DTSTART;TZID=Asia/Seoul:20221206T153000
DTEND;TZID=Asia/Seoul:20221206T170000
UID:siggraphasia_SIGGRAPH Asia 2022_sess157_papers_289@linklings.com
SUMMARY:PopStage: The Generation of Stage Cross-Editing Video based on Spa
 tio-Temporal Matching
DESCRIPTION:Technical Communications, Technical Papers\n\nPopStage: The Ge
 neration of Stage Cross-Editing Video based on Spatio-Temporal Matching\n\
 nLee, Yoo, Cho, Kim, Im...\n\nStageMix is a mixed video that is created by
  concatenating the segments from various performance videos of an identica
 l song in a visually smooth manner by matching the main subject's silhouet
 te presented in the frame. We introduce PopStage, which allows users to ge
 nerate a StageMix automatically. PopStage is designed based on the StageMi
 x Editing Guideline that we established by interviewing creators as well a
 s 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 o
 f transition timing across the videos, we obtain the optimal path that max
 imizes the sum of rewards through dynamic programming. Given the optimal p
 ath, PopStage then aligns the silhouettes of the main subject from the tra
 nsitioning video pair to enhance the visual connection at the transition p
 oint. The virtual camera view is next optimized to remove the black areas 
 that are often created due to the transformation needed for silhouette ali
 gnment, 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.\n\nRegistration Category: FULL ACCESS, ON-DEMAND 
 ACCESS\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON, ON-DEMAND
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_289&sess=sess15
 7
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