skip to main content
10.1145/3450415.3464398acmconferencesArticle/Chapter ViewAbstractPublication PagessiggraphConference Proceedingsconference-collections
abstract

MotionViz: Artistic Visualization of Human Motion on Mobile Devices

Authors Info & Claims
Published:06 August 2021Publication History

ABSTRACT

We present MotionViz, an interactive iOS mobile app that enables users to amplify motion and dynamics in videos. MotionViz implements novel augmented reality and expressive rendering techniques in an end-to-end processing pipeline: multi-dimensional video data is captured, analyzed, and processed to render animated graphical elements that help express figures and actions. Through an easy-to-use graphical user interface, users can choose from a curated list of artistic motion visualization effects, including the overlay of animated silhouettes, halos, and contour lines. MotionViz is based on Apple’s LiDAR technology, accelerated image processing APIs, and dedicated Neural Engine for real-time on-device processing.

Skip Supplemental Material Section

Supplemental Material

3450415.3464398.mp4

Presentation video.

References

  1. Scott McCloud. 2006. Making Comics: Storytelling Secrets of Comics, Manga and Graphic Novels. Harper New York.Google ScholarGoogle Scholar
  2. H. Tankovska. 2021. Most popular categories on TikTok worldwide 2020, by hashtag views. https://www.statista.com/statistics/1130988/. [Online; accessed 14-May-2021].Google ScholarGoogle Scholar
  3. Tom Walker. 2020. Wait for You. https://www.youtube.com/watch?v=lwGEhnl0NxQ. [Online; accessed 14-May-2021].Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Conferences
    SIGGRAPH '21: ACM SIGGRAPH 2021 Appy Hour
    August 2021
    18 pages
    ISBN:9781450383585
    DOI:10.1145/3450415

    Copyright © 2021 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 6 August 2021

    Check for updates

    Qualifiers

    • abstract
    • Research
    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate1,822of8,601submissions,21%
  • Article Metrics

    • Downloads (Last 12 months)22
    • Downloads (Last 6 weeks)2

    Other Metrics

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format