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[KS+04c]  Efficient Coding of Stroke-Rendered Paintings

Kovacs:2004:ECS (In proceedings)
Author(s)Kovács L. and Szirányi T.
Title« Efficient Coding of Stroke-Rendered Paintings »
InProceedings of the International Conference on Pattern Recognition 2004 (ICPR'04, 23--26 August 2004, Cambridge, UK)
Page(s)835--838
Year2004
OrganizationIEEE Computer Society
PublisherIEEE Computer Society
AddressLos Alamitos, CA
URLhttp://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334388

Abstract
There are more and more applications of nonphotorealistic rendered images, sketches and drawings. Several techniques for generating such imagery are widely known. The stochastic painting-based painterly image (and video) generation presented herein is a multipurpose image rendering and representation method, suitable for many purposes: painterly rendering, storing, compression or indexing. It incorporates many new features like multiscale edge following, stroke-set optimizations, templates, color morphology, etc. We will demonstrate that the presented technique (called enhanced Stochastic Paintbrush Transformation or eSPT) is suitable for fast high quality painterly rendering, providing good lossless painted compression ratios and features that make it suitable for many applications.One of these we wish to emphasize is the suitability to code painted images in a way that does not introduce any coding artifacts (blockiness, ringings, etc.) but provides a compact form of representation that still retains the main property of a painting: that it is a painting after all.

BibTeX code
@inproceedings{Kovacs:2004:ECS,
  opteditor = {},
  author = {Levente Kov{\'a}cs and Tam{\'a}s Szir{\'a}nyi},
  optkey = {},
  optannote = {},
  optseries = {},
  url = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334388},
  address = IEEEAdr,
  optisbn = {},
  localfile = {papers/Kovacs.2004.ECS.pdf},
  publisher = IEEEPub,
  optmonth = {},
  optciteseer = {},
  doi = {http://dx.doi.org/10.1109/ICPR.2004.1334388},
  organization = IEEEOrg,
  optwww = {},
  optcrossref = {},
  booktitle = {Proceedings of the International Conference on Pattern
               Recognition 2004 (ICPR'04, 23--26 August 2004, Cambridge, UK)},
  optvolume = {},
  optnumber = {},
  abstract = {There are more and more applications of nonphotorealistic rendered
              images, sketches and drawings. Several techniques for generating
              such imagery are widely known. The stochastic painting-based
              painterly image (and video) generation presented herein is a
              multipurpose image rendering and representation method, suitable
              for many purposes: painterly rendering, storing, compression or
              indexing. It incorporates many new features like multiscale edge
              following, stroke-set optimizations, templates, color morphology,
              etc. We will demonstrate that the presented technique (called
              enhanced Stochastic Paintbrush Transformation or eSPT) is suitable
              for fast high quality painterly rendering, providing good lossless
              painted compression ratios and features that make it suitable for
              many applications.One of these we wish to emphasize is the
              suitability to code painted images in a way that does not
              introduce any coding artifacts (blockiness, ringings, etc.) but
              provides a compact form of representation that still retains the
              main property of a painting: that it is a painting after all.},
  title = {{E}fficient {C}oding of {S}troke-{R}endered {P}aintings},
  year = {2004},
  pages = {835--838},
}

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