Overview   Tree   Index 
NPR Literature
PREV  NEXT FRAMES  NO FRAME 

[ST+01]  Optimization of Paintbrush Rendering of Images by Dynamic MCMC Methods

Sziranyi:2001:OPR (In proceedings)
Author(s)Szirányi T. and Tóth Z.
Title« Optimization of Paintbrush Rendering of Images by Dynamic MCMC Methods »
InProceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'01, London, UK, 2001)
SeriesLecture Notes in Computer Science
Volume2134
Page(s)201--215
Year2001
PublisherSpringer-Verlag
AddressBerlin

Abstract
We have developed a new stochastic image rendering method for the compression, description and segmentation of images. This paintbrush-like image transformation is based on a random searching to insert brush-strokes into a generated image at decreasing scale of brush-sizes, without predefined models or interaction. We introduced a sequential multiscale image decomposition method, based on simulated rectangular-shaped paintbrush strokes. The resulting images look like good-quality paintings with well-defined contours, at an acceptable distortion compared to the original image. The image can be described with the parameters of the consecutive paintbrush strokes, resulting in a parameter-series that can be used for compression. The painting process can be applied for image representation, segmentation and contour detection. Our original method is based on stochastic exhaustive searching which takes a long time of convergence. In this paper we propose a modified algorithm of speed up of about 2x where the faster convergence is supported by a dynamic Metropolis Hastings rule.

BibTeX code
@inproceedings{Sziranyi:2001:OPR,
  opteditor = {},
  optpostscript = {},
  optorganization = {},
  author = {Tam{\'a}s Szir{\'a}nyi and Zolt{\'a}n T{\'o}th},
  optkey = {},
  series = LNICS,
  optannote = {},
  address = {Berlin},
  localfile = {papers/Sziranyi.2001.OPR.pdf},
  optisbn = {},
  publisher = {Springer-Verlag},
  optkeywords = {},
  doi =
         {http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=2134&spage=0201},
  optmonth = {},
  citeseer = {http://citeseer.csail.mit.edu/484023.html},
  opturl = {},
  volume = {2134},
  optcrossref = {},
  optwww = {},
  booktitle = {Proceedings of the Third International Workshop on Energy
               Minimization Methods in Computer Vision and Pattern Recognition
               (EMMCVPR'01, London, UK, 2001)},
  optnumber = {},
  abstract = {We have developed a new stochastic image rendering method for the
              compression, description and segmentation of images. This
              paintbrush-like image transformation is based on a random
              searching to insert brush-strokes into a generated image at
              decreasing scale of brush-sizes, without predefined models or
              interaction. We introduced a sequential multiscale image
              decomposition method, based on simulated rectangular-shaped
              paintbrush strokes. The resulting images look like good-quality
              paintings with well-defined contours, at an acceptable distortion
              compared to the original image. The image can be described with
              the parameters of the consecutive paintbrush strokes, resulting in
              a parameter-series that can be used for compression. The painting
              process can be applied for image representation, segmentation and
              contour detection. Our original method is based on stochastic
              exhaustive searching which takes a long time of convergence. In
              this paper we propose a modified algorithm of speed up of about 2x
              where the faster convergence is supported by a dynamic Metropolis
              Hastings rule.},
  title = {{O}ptimization of {P}aintbrush {R}endering of {I}mages by {D}ynamic
           {MCMC} {M}ethods},
  year = {2001},
  pages = {201--215},
}

 Overview   Tree   Index 
NPR Literature
PREV  NEXT FRAMES  NO FRAME 

Submit a bug

This document was generated by bib2html 3.3.
Copyright © 1998-05 Stéphane GALLAND (under the GNU General Public License)

Valid HTML 4.01!Valid CSS!