0439654 20240103205551.120150120235959.9 84946686194 000380802600021 10.1109/IWCIM.2014.7008812 5 s. E cav_un_epca*0439650978-1-4799-7971-4Los Alamitos, USAIEEE Computer Society CPS2014 Benchmark testing fidelity criteria texture cav_un_auth*0101093 Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition Haindl Michal UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0287263 Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition Kudělka Miloš UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2014/RO/haindl-0439654.pdf cav_un_auth*0303439 GA14-10911S GA ČR CZ 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 ({/bf 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. cav_un_auth*0313040 International Workshop on Computational Intelligence for Multimedia Understanding 2014 (IWCIM) 01.11.2014-02.11.2014 Paris FR BD 2015 2 PR RVO:67985556 http://hdl.handle.net/11104/0242971 1 S 2014 84946686194 SCOPUS 000380802600021 WOS cav_un_epca*0439650 2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) 978-1-4799-7971-4 Los Alamitos, USA IEEE Computer Society CPS 2014