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[HE+04]  Image and Video Based Painterly Animation

Hays:2004:IVB (In proceedings)
Author(s)Hays J. and Essa I.
Title« Image and Video Based Painterly Animation »
InProceedings of the Third International Symposium on Non-Photorealistic Animation and Rendering (NPAR 2004, Annecy, France, June 7--9, 2004)
Editor(s)Aaron Hertzmann and Craig Kaplan
Page(s)113--120
Year2004
PublisherACM Press
AddressNew York
Editor(s)Aaron Hertzmann and Craig Kaplan

Abstract
We present techniques for transforming images and videos into painterly animations depicting different artistic styles. Our techniques rely on image and video analysis to compute appearance and motion properties. We also determine and apply motion information from different (user-specified) sources to static and moving images. These properties that encode spatio-temporal variations are then used to render (or paint) effects of selected styles to generate images and videos with a painted look. Painterly animations are generated using a mesh of brush stroke objects with dynamic spatio-temporal properties. Styles govern the behavior of these brush strokes as well as their rendering to a virtual canvas. We present methods for modifying the properties of these brush strokes according to the input images, videos, or motions. Brush stroke color, length, orientation, opacity, and motion are determined and the brush strokes are regenerated to fill the canvas as the video changes. All brush stroke properties are temporally constrained to guarantee temporally coherent non-photorealistic animations.

BibTeX code
@inproceedings{Hays:2004:IVB,
  optorganization = {},
  author = {James Hays and Irfan Essa},
  optkey = {},
  optseries = {},
  editor = {Aaron Hertzmann and Craig Kaplan},
  localfile = {papers/Hays.2004.IVB.pdf},
  address = {New York},
  publisher = {ACM Press},
  optmonth = {},
  doi = {http://doi.acm.org/10.1145/987657.987676},
  opturl = {},
  optwww = {},
  optcrossref = {},
  booktitle = NPAR2004,
  optstatus = {},
  optvolume = {},
  optnumber = {},
  title = {{I}mage and {V}ideo {B}ased {P}ainterly {A}nimation},
  abstract = {We present techniques for transforming images and videos into
              painterly animations depicting different artistic styles. Our
              techniques rely on image and video analysis to compute appearance
              and motion properties. We also determine and apply motion
              information from different (user-specified) sources to static and
              moving images. These properties that encode spatio-temporal
              variations are then used to render (or paint) effects of selected
              styles to generate images and videos with a painted look.
              Painterly animations are generated using a mesh of brush stroke
              objects with dynamic spatio-temporal properties. Styles govern the
              behavior of these brush strokes as well as their rendering to a
              virtual canvas. We present methods for modifying the properties of
              these brush strokes according to the input images, videos, or
              motions. Brush stroke color, length, orientation, opacity, and
              motion are determined and the brush strokes are regenerated to
              fill the canvas as the video changes. All brush stroke properties
              are temporally constrained to guarantee temporally coherent
              non-photorealistic animations.},
  year = {2004},
  pages = {113--120},
}

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