@techreport{TR-IC-07-28,
  number = {IC-07-28},
  author = {Jurandy Almeida and Anderson Rocha and
            Ricardo Torres and Siome Goldenstein},
  title = {Image Retrieval based on Color and
           Scale representative Image Regions ({CSIR})},
  month = {September},
  year = {2007}, 
  institution = {Institute of Computing, University of Campinas},
  note = {In English, 16 pages.
    \par\selectlanguage{english}\textbf{Abstract}
       Content-based image retrieval (CBIR) is a challenging
       task. Common techniques use only low-level features. However,
       these solutions can lead to the so-called `semantic gap'
       problem: images with high feature similarities may be different
       in terms of user perception. In this paper, our objective is to
       retrieve images based on color cues which may present some
       affine transformations. For that, we present CSIR: a new method
       for comparing images based on discrete distributions of
       distinctive color and scale image regions. We validate the
       technique using images with a large range of viewpoints,
       partial occlusion, changes in illumination, and various
       domains.
  }
}