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DTSTAMP:20240214T070247Z
LOCATION:Meeting Room C4.9+C4.10\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231214T102000
DTEND;TZID=Australia/Melbourne:20231214T103500
UID:siggraphasia_SIGGRAPH Asia 2023_sess152_papers_207@linklings.com
SUMMARY:Editing Motion Graphics Video via Motion Vectorization and Transfo
 rmation
DESCRIPTION:Technical Papers\n\nSharon Zhang and Jiaju Ma (Stanford Univer
 sity); Daniel Ritchie (Brown University); Jiajun Wu (Stanford University);
  and Maneesh Agrawala (Stanford University, Roblox)\n\nMotion graphics vid
 eos are widely used in Web design, digital advertising, animated logos and
  film title sequences, to capture a viewer's attention. But editing such v
 ideo is challenging because the video provides a low-level sequence of pix
 els and frames rather than higher-level structure such as the objects in t
 he video with their corresponding motions and occlusions. We present a mot
 ion vectorization pipeline for converting motion graphics video into an SV
 G motion program that provides such structure. The resulting SVG program c
 an be rendered using any SVG renderer\n(e.g. most Web browsers) and edited
  using any SVG editor. We also introduce a program transformation API that
  facilitates editing of a SVG motion program to create variations that adj
 ust the timing, motions and/or appearances of objects. We show how the API
  can be used to create a variety of effects including retiming object moti
 on to match a music beat, adding motion textures to objects, and collision
  preserving appearance changes.\n\nRegistration Category: Full Access\n\nS
 ession Chair: Haisen Zhao (Shandong University)
URL:https://asia.siggraph.org/2023/full-program?id=papers_207&sess=sess152
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