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Unsupervised Image Segmentation Contest

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F14%3A00431256" target="_blank" >RIV/67985556:_____/14:00431256 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/ICPR.2014.264" target="_blank" >http://dx.doi.org/10.1109/ICPR.2014.264</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICPR.2014.264" target="_blank" >10.1109/ICPR.2014.264</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Unsupervised Image Segmentation Contest

  • Original language description

    The unsupervised color image segmentation competition is taking place in conjunction with the ICPR 2014 conference. It aims to promote evaluation of unsupervised color image segmentation algorithms using publicly available data sets. The results evaluation is based on the standard performance assessment methodology using the online web verification server. We present in this paper the top six preliminary results submitted to this contest till the ICPR paper submission deadline.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA14-10911S" target="_blank" >GA14-10911S: Mathematical modeling of surface material appearance</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014)

  • ISBN

    978-1-4799-5208-3

  • ISSN

    1051-4651

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    1484-1489

  • Publisher name

    IEEE Computer Society

  • Place of publication

    Stockholm

  • Event location

    Stockholm

  • Event date

    Aug 24, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000359818001102