@inproceedings{Hertzmann:2001:PBR,
  optnote = {},
  optorganization = {},
  author = {Aaron Hertzmann},
  optkey = {},
  optannote = {},
  optseries = {},
  editor = {Horace H. S. Ip and Nadia Magnenat-Thalmann and Tat-Seng Chua Rynson
            W. H. Lau},
  address = IEEEAdr,
  localfile = {papers/Hertzmann.2001.PBR.pdf},
  publisher = IEEEPub,
  doi = {http://dx.doi.org/10.1109/CGI.2001.934657},
  optmonth = {},
  citeseer = {http://citeseer.nj.nec.com/hertzmann01paint.html},
  optcrossref = {},
  booktitle = {Proceedings Computer Graphics International 2001 (Hong Kong, jul
               2001)},
  optstatus = {doi},
  optvolume = {},
  optnumber = {},
  title = {{P}aint {B}y {R}elaxation},
  abstract = {We use relaxation to produce painted imagery from images and
              video. An energy function is first specified; we then search for a
              painting with minimal energy. The appeal of this strategy is that,
              ideally, we need only specify what we want, not how to directly
              compute it. Because the energy function is very difficult to
              optimize, we use a relaxation algorithm combined with search
              heuristics. This formulation allows us to specify painting style
              by varying the relative weights of energy terms. The basic energy
              function yields an economical style that conveys an image with few
              strokes. This style produces greater temporal coherence for video
              than previous techniques. The system allows as fine user control
              as desired: the user may interactively change the painting style,
              specify variations of style over an image, and/or add specific
              strokes to the painting. },
  year = {2001},
  pages = {47--54},
}