@InProceedings{Chum-CVPR-2011,
  IS = { zkontrolovano 10 Jan 2012 },
  UPDATE  = { 2011-09-02 },
  author =      {Chum, Ond{\v r}ej and Mikulik, Andrej and 
                 Perdoch, Michal and Matas, Ji{\v r}{\' \i}},
  title =       {Total Recall II: Query Expansion Revisited},
  year =        {2011},
  pages =       {889--896},
  booktitle =   {CVPR 2011: Proceedings of the 2011 IEEE Computer Society
                 Conference on Computer Vision and Pattern Recognition},
  publisher =   {IEEE Computer Society},
  address =     {Los Alamitos, USA},
  isbn =        {978-1-4577-0393-5},
  issn =        {1063-6919},
  book_pages =  {3503},
  month =       {June},
  day =         {20-25},
  venue =       {Colorado Springs, USA},
  organization ={IEEE Computer Society},
  annote = {Most effective particular object and image retrieval
    approaches are based on the bag-of-words (BoW) model. All
    state-of-the-art retrieval results have been achieved by methods
    that include a query expansion that brings a significant boost in
    performance. We introduce three modifications to automatic query
    expansion: (i) a method capable of preventing query expansion
    failure caused by the presence of confusers, (ii) an improved
    spatial verification and re-ranking step that incrementally builds
    a statistical model of the query object and (iii) we learn
    relevant spatial context to boost retrieval performance. The three
    improvements of query expansion were evaluated on established
    Paris and Oxford datasets according to a standard protocol, and
    state-of-the-art results were achieved.},
  keywords =    {bag-of-words, query expansion, large scale image retrieval},
  prestige =    {important},
  authorship =  {25-25-25-25},
  note =        {CD-ROM},
  project =     {MSM6840770038, SGS11/125/OHK3/2T/13, FP7-ICT-247022 MASH, Microsoft scholarship},
  psurl =       {10.1109/CVPR.2011.5995601.pdf},
  doi =         {10.1109/CVPR.2011.5995601},
  ut_isi =      {000295615800111},
}