@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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