@InProceedings{Chum-iccv07,
  IS = { zkontrolovano 15 Dec 2007 },
  UPDATE  = { 2007-12-11 },
  author =      {Chum, O. and Philbin, J. and Sivic, J. and 
                 Isard, M. and Zisserman, A.},
  title =       {Total Recall: Automatic Query Expansion with a Generative 
                 Feature Model for Object Retrieval},
  year =        {2007},
  pages =       {8},
  booktitle =   {ICCV 2007: Proceedings of Eleventh IEEE International
                 Conference on Computer Vision},
  editor =      {Dimitris Metaxas and Baba Vemuri and Amnon Shashua and Harry Shum},
  publisher =   {IEEE Computer Society Press},
  address =     {Los Alamitos, USA},
  isbn =        {978-1-4244-1631-8},
  book_pages =  {2240},
  month =       {10},
  day =         {14-20},
  venue =       {Rio de Janeiro, Brazil},
  organization ={IEEE Computer Society},
  annote = {Given a query image of an object, our objective is to
    retrieve all instances of that object in a large (1M+) image
    database. We adopt the bag-of-visual-words architecture which has
    proven successful in achieving high precision at low
    recall. Unfortunately, feature detection and quantization are
    noisy processes and this can result in variation in the particular
    visual words that appear in different images of the same object,
    leading to missed results.},
  keywords =    {query expansion, particular object retrieval},
  authorship =  {50-20-10-10-10},
  note =        {CD-ROM},
  acceptance_ratio = { 23.5\% },
  psurl       = {[PDF] },
}