@article{Chuang:2005:APS,
  optpostscript = {},
  number = {3},
  month = jul,
  author = {Yung-Yu Chuang and Dan B. Goldman and Ke Colin Zheng and Brian
            Curless and David H. Salesin and Richard Szeliski},
  optkey = {},
  optannote = {},
  url = {http://grail.cs.washington.edu/projects/StochasticMotionTextures/},
  localfile = {papers/Chuang.2005.APS.pdf},
  optkeywords = {},
  doi = {http://doi.acm.org/10.1145/1073204.1073273},
  optciteseer = {},
  journal = SIGGRAPH2005,
  volume = {24},
  optwww = {},
  title = {{A}nimating {P}ictures with {S}tochastic {M}otion {T}extures},
  abstract = {In this paper, we explore the problem of enhancing still pictures
              with subtly animated motions. We limit our domain to scenes
              containing passive elements that respond to natural forces in some
              fashion. We use a semi-automatic approach, in which a human user
              segments the scene into a series of layers to be individually
              animated. Then, a "stochastic motion texture" is automatically
              synthesized using a spectral method, i.e., the inverse Fourier
              transform of a filtered noise spectrum. The motion texture is a
              time-varying 2D displacement map, which is applied to each layer.
              The resulting warped layers are then recomposited to form the
              animated frames. The result is a looping video texture created
              from a single still image, which has the advantages of being more
              controllable and of generally higher image quality and resolution
              than a video texture created from a video source. We demonstrate
              the technique on a variety of photographs and paintings.},
  pages = {853--860},
  year = {2005},
}