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DTSTAMP:20260114T163644Z
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:Sharon Zhang and Jiaju Ma (Stanford University); Daniel Ritchi
 e (Brown University); Jiajun Wu (Stanford University); and Maneesh Agrawal
 a (Stanford University, Roblox)\n\nMotion graphics videos are widely used 
 in Web design, digital advertising, animated logos and film title sequence
 s, to capture a viewer's attention. But editing such video is challenging 
 because the video provides a low-level sequence of pixels and frames rathe
 r than higher-level structure such as the objects in the video with their 
 corresponding motions and occlusions. We present a motion vectorization pi
 peline for converting motion graphics video into an SVG motion program tha
 t provides such structure. The resulting SVG program can be rendered using
  any SVG renderer\n(e.g. most Web browsers) and edited using any SVG edito
 r. We also introduce a program transformation API that facilitates editing
  of a SVG motion program to create variations that adjust the timing, moti
 ons and/or appearances of objects. We show how the API can be used to crea
 te a variety of effects including retiming object motion to match a music 
 beat, adding motion textures to objects, and collision preserving appearan
 ce changes.\n\nRegistration Category: Full Access\n\nSession Chair: Haisen
  Zhao (Shandong University)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_207&sess=sess152
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