Editing Motion Graphics Video via Motion Vectorization and Transformation

Author:

Zhang Sharon1ORCID,Ma Jiaju1ORCID,Wu Jiajun1ORCID,Ritchie Daniel2ORCID,Agrawala Maneesh3

Affiliation:

1. Stanford University, USA

2. Brown University, USA

3. Stanford University, USA and Roblox, USA

Abstract

Motion graphics videos are widely used in Web design, digital advertising, animated logos and film title sequences, to capture a viewer's attention. But editing such video is challenging because the video provides a low-level sequence of pixels and frames rather than higher-level structure such as the objects in the video with their corresponding motions and occlusions. We present a motion vectorization pipeline for converting motion graphics video into an SVG motion program that provides such structure. The resulting SVG program can be rendered using any SVG renderer (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 adjust 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 motion to match a music beat, adding motion textures to objects, and collision preserving appearance changes.

Funder

NSF

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Reference76 articles.

1. Autodesk INC. 2023a. Maya. https:/autodesk.com/maya Autodesk INC. 2023a. Maya. https:/autodesk.com/maya

2. Autodesk INC. 2023b. MotionBuilder. https:/autodesk.com/motionbuilder Autodesk INC. 2023b. MotionBuilder. https:/autodesk.com/motionbuilder

3. Serge Belongie , Greg Mori , and Jitendra Malik . 2006. Matching with shape contexts. Statistics and Analysis of Shapes ( 2006 ), 81--105. Serge Belongie, Greg Mori, and Jitendra Malik. 2006. Matching with shape contexts. Statistics and Analysis of Shapes (2006), 81--105.

4. Automation and customization of rendered web pages

5. D³ Data-Driven Documents

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