@InProceedings {obdrzalek03dagm,
  IS = { zkontrolovano 07 Dec 2003 },
  UPDATE  = { 2003-10-09 },
  author =      { Obdr{\v z}{\' a}lek, {\v S}t{\v e}p{\' a}n and 
                  Matas, Ji{\v r}{\' \i} },
  title =       { Image Retrieval Using Local Compact DCT-Based Representation},
  year =        { 2003 },
  pages =       { 490--497 },
  booktitle =   { DAGM 2003: Proceedings of the 25th DAGM Symposium },
  editor =      { Michaelis, Bernd and Krell, Gerald },
  publisher =   { Springer-Verlag },
  address =     { Berlin, Germany },
  isbn =        { 3-540-40861-4 },
  volume =      { 1 },
  series =      { LNCS },
  number =      { 2781 },
  book_pages =  { 621 },
  month =       { 9 },
  day =         { 10--12 },
  venue =       { Magdeburg, Germany },
  annote = { An image retrieval system based on local affine frames is
                  introduced.  The system provides highly
                  discriminative retrieval of rigid objects under a
                  very wide range of viewing and illumination
                  conditions, and is robust to occlusion and
                  background clutter. Distinguished regions of data
                  dependent shape are detected, and local affine
                  frames (coordinate systems) are
                  obtained. Photometrically and geometrically
                  normalised image patches are extracted and used for
                  matching. Local correspondences are formed either by
                  direct comparison of photometrically normalised
                  colour intensities in the normalised patches, or by
                  comparison of DCT (discrete cosine transform)
                  coefficients of the patches. Experimental results
                  are presented on a publicly available database of
                  real outdoor images of buildings. We demonstrate the
                  effect of the number of DCT coefficients that are
                  used for the matching. Using the DCT, excellent
                  results with a retrieval performance of 100% in rank
                  1 are achieved, and memory usage is reduced by a
                  factor of 4.  },
  authorship =  { 50-50 },
  project =     { IST-2001-32184, LN00B096, CTU 0307013 },
  psurl       = { obdrzalek-dagm03.pdf [PDF, 1.5 MB]  },
}