@InProceedings{Philbin-cvpr07,
  IS = { zkontrolovano 16 Dec 2007 },
  UPDATE  = { 2007-12-11 },
  author =       { Philbin, J. and Chum, O. and Isard, M. and Sivic, J. and Zisserman, A. },
  title =        { Object retrieval with large vocabularies and fast spatial matching },
  booktitle =    { Proceedings of the Computer Vision and
                   Pattern Recognition conference (CVPR) },
  year =         { 2007 },
  publisher =    { IEEE Computer Society },
  address      = { Los Alamitos, USA },
  month =        { June },
  day =          { 19-21 },
  venue =        { Minneapolis, USA},
  keywords =     { large scale image retrieval, large scale clustering},
  pages =        {8},
  book_pages =   {2816},
  authorship =   { 35-35-10-10-10  },
  annote = { In this paper, we present a large-scale object retrieval
    system. The user supplies a query object by selecting a region of
    a query image, and the system returns a ranked list of images that
    contain the same object, retrieved from a large corpus. We
    demonstrate the scalability and performance of our system on a
    dataset of over 1 million images crawled from the photo-sharing
    site, Flickr, using Oxford landmarks as queries. },
  organization = { {IEEE} Computer Society },
  isbn         = { 1-4244-1180-7 },
  psurl        = {[PDF]},
  prestige     = { important },
  note         = { CD-ROM },
}