Calligraphic video: A phenomenological approach to dense visual interaction

Xin Wei Sha, Michael Fortin, Jean Sébastien Rousseau

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

No matter what how the image is computationally produced, screen-based graphics are still typically presented on a two-dimensional surface like a screen, wall, or electronic paper. The limit of manipulating objects in a two-dimensional graphical display is where each pixel is an independent object. These two observations motivate the development of calligraphic video, textures that can be manipulated by the user using intuitions about physical material such as water, ink, or smoke. We argue for a phenomenological approach to complex visual interaction based on corporeal kinesthetic intuition, and provide an effective way to provide such texture-based interaction using computational physics. A motivating application is to create palpable, highly textured video that can be projected as structured light fields in responsive environments.

Original languageEnglish (US)
Title of host publicationMM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums
Pages1091-1099
Number of pages9
DOIs
StatePublished - Dec 28 2009
Externally publishedYes
Event17th ACM International Conference on Multimedia, MM'09, with Co-located Workshops and Symposiums - Beijing, China
Duration: Oct 19 2009Oct 24 2009

Publication series

NameMM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums

Other

Other17th ACM International Conference on Multimedia, MM'09, with Co-located Workshops and Symposiums
CountryChina
CityBeijing
Period10/19/0910/24/09

Keywords

  • Computational physics
  • Design
  • Gesture-based interaction
  • Phenomenology
  • Realtime sound
  • Realtime video
  • Responsive environment
  • Responsive media
  • Tangible media

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Software

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