@string{icip="Proceedings of International Conference on Image Processing"}
@InProceedings{Kato-etal2002a,
  author =	 {Kato, Zoltan and Ji, Xiaowen and Sziranyi, Tamas and
                  Toth, Zoltan and Czuni, Laszlo},
  title =	 {Content-Based Image Retrieval Using Stochastic
                  Paintbrush Transformation},
  booktitle =	 icip,
  year =	 2002,
  address =	 {New York, USA},
  month =	 sep,
  organization = {IEEE},
  volume =	 {1},
  pages =	 {944-947},
  pdf =          {papers/icip2002.pdf},
  ps =           {papers/icip2002.ps},
  abstract =	 {We propose a new content based image retrieval
                  method. The novelty of our approach lies in the
                  applied image similarity measure: unlike traditional
                  features, such as color, texture or shape, our
                  measure is based on a painted representation of the
                  original image. We use paintbrush stroke parameters
                  as features. These strokes are produced by a
                  stochastic paintbrush algorithm which simulates a
                  painting process. Stroke parameters include color,
                  orientation and location. Therefore, it provides
                  information not only about the color content but
                  also about the structural properties of an
                  image. Experimental results on a database of more
                  than 500 images show that the CBIR method using
                  paintbrush features has a higher retrieval rate than
                  methods using color features only.}
}