IS = { zkontrolovano 15 Jan 2013 },
  author =      {Neumann, Luk{\' a}{\v s} and Matas, Ji{\v r}{\' i}},
  title =       {A Real-Time Scene Text to Speech System},
  year =        {2012},
  pages =       {619-622},
  booktitle =   {Computer Vision - ECCV 2012. Workshops and Demonstrations},
 editor =       {Fusiello, Andrea and
                 Murino, Vittorio and
                 Cucchiara, Rita},
  volume =      {7585},
  series =      {Lecture Notes in Computer Science},
  publisher =   {Springer},
  isbn =        {978-3-642-33884-7},
  issn =        {0302-9743},
  month =       {October},
  day =         {7--13},
  book_pages =  {682},
  address =     {Berlin, Germany},
  venue =       {Firenze, Italy},
  annote =      {An end-to-end real-time scene text localization and
    recognition method is demonstrated. The method localizes textual
    content in images, a video or a webcam stream, performs character
    recognition (OCR) and "reads" it out loud using a text-to-speech
    engine. The method has been recently published, achieves
    state-of-the-art results on public datasets and is able to
    recognize different fonts and scripts including non-latin
    ones. The real-time performance is achieved by posing the
    character detection problem as an efficient sequential selection
    from the set of Extremal Regions (ERs) which has a linear
    computation complexity in the number of pixels in the
    image. Robustness to blur, noise and illumination and color
    variations is also demonstrated. Finally, we show effects of
    various control parameters.},
  keywords =    {text localization, text recognition},
  prestige =    {international},
  authorship =  {50-50},
  project =     {GACR P103/12/G084, SGS11/125/OHK3/2T/13 },
  doi =         {10.1007/978-3-642-33885-4_66},
  psurl =       {http://cmp.felk.cvut.cz/~neumalu1/eccv2012submission.pdf},