@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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