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[CRH+05]  Rendering Cartoon-Style Motion Cues in Post-Production Video

Collomosse:2005:RCS (Article)
Author(s)Collomosse J., Rowntree D. and Hall P.
Title« Rendering Cartoon-Style Motion Cues in Post-Production Video »
JournalGraphical Models
Volume67
Number6
Page(s)549--564
Year2005

Abstract
The contribution of this paper is a novel non-photorealistic rendering (NPR) system capable of rendering motion within a video sequence in artistic styles. A variety of cartoon-style motion cues may be inserted into a video sequence, including augmentation cues (such as streak lines, ghosting, or blurring) and deformation cues (such as squash and stretch or drag effects). Users may select from the gamut of available styles by setting parameters which influence the placement and appearance of motion cues. Our system draws upon techniques from both the vision and the graphics communities to analyse and render motion and is entirely automatic, aside from minimal user interaction to bootstrap a feature tracker. We demonstrate successful application of our system to a variety of subjects with complexities ranging from simple oscillatory to articulated motion, under both static and moving camera conditions with occlusion present.

BibTeX code
@article{Collomosse:2005:RCS,
  optpostscript = {},
  number = {6},
  month = nov,
  author = {John P. Collomosse and David Rowntree and Peter M. Hall},
  optkey = {},
  optannote = {},
  localfile = {papers/Collomosse.2005.RCS.pdf},
  optkeywords = {},
  doi = {http://dx.doi.org/10.1016/j.gmod.2004.12.002},
  optciteseer = {},
  journal = j-GM,
  opturl = {},
  volume = {67},
  optwww = {},
  title = {{R}endering {C}artoon-{S}tyle {M}otion {C}ues in {P}ost-{P}roduction
           {V}ideo},
  abstract = {The contribution of this paper is a novel non-photorealistic
              rendering (NPR) system capable of rendering motion within a video
              sequence in artistic styles. A variety of cartoon-style motion
              cues may be inserted into a video sequence, including augmentation
              cues (such as streak lines, ghosting, or blurring) and deformation
              cues (such as squash and stretch or drag effects). Users may
              select from the gamut of available styles by setting parameters
              which influence the placement and appearance of motion cues. Our
              system draws upon techniques from both the vision and the graphics
              communities to analyse and render motion and is entirely
              automatic, aside from minimal user interaction to bootstrap a
              feature tracker. We demonstrate successful application of our
              system to a variety of subjects with complexities ranging from
              simple oscillatory to articulated motion, under both static and
              moving camera conditions with occlusion present.},
  pages = {549--564},
  year = {2005},
}

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