• DocumentCode
    1796901
  • Title

    Texture fidelity benchmark

  • Author

    Haindl, Michal ; Kudelka, Milos

  • Author_Institution
    Inst. of Inf. Theor. & Autom., Acadademy of Sci. of the Czech Republic, Prague, Czech Republic
  • fYear
    2014
  • fDate
    1-2 Nov. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Automatic texture quality evaluation is important but still unsolved difficult problem. While several generative mathematical texture models were developed, their reliable qualitative evaluation is for now possible only using impractical and expensive visual psycho-physics which hampers their further progress. We present the texture fidelity benchmark created to help the validation of texture fidelity criteria being developed. The benchmark is a web based service (http://tfa.utia.cas.cz) designed for performance evaluation, mutual comparison, and ranking of various texture fidelity measures. The benchmark supports rapid verification and development of new fidelity criteria approaches and contains seven color, variable texture quality, series together with their grey-scale counterparts.
  • Keywords
    Internet; image colour analysis; image texture; Web based service; automatic texture quality evaluation; color; generative mathematical texture model; grey-scale counterpart; mutual comparison; performance evaluation; qualitative evaluation; texture fidelity benchmark; texture fidelity criteria; texture fidelity measure; visual psycho-physics; Benchmark testing; Correlation; Image color analysis; Mathematical model; Reliability; Visualization; Wavelet domain; benchmark; fidelity criteria; measure; texture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Multimedia Understanding (IWCIM), 2014 International Workshop on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/IWCIM.2014.7008812
  • Filename
    7008812