bibtype C - Conference Paper (international conference)
ARLID 0385300
utime 20240103201734.1
mtime 20121220235959.9
title (primary) (eng) Potts Compound Markovian Texture Model
specification
page_count 4 s.
media_type P
serial
ARLID cav_un_epca*0384215
ISBN 978-1-4673-2216-4
title Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)
page_num 29-32
publisher
place Piscataway
name IEEE Press
year 2012
keyword texture
keyword Markov random field
author (primary)
ARLID cav_un_auth*0101093
name1 Haindl
name2 Michal
full_dept (cz) Rozpoznávání obrazu
full_dept (eng) Department of Pattern Recognition
department (cz) RO
department (eng) RO
institution UTIA-B
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0286710
name1 Remeš
name2 Václav
full_dept (cz) Rozpoznávání obrazu
full_dept Department of Pattern Recognition
department (cz) RO
department RO
institution UTIA-B
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101100
name1 Havlíček
name2 Vojtěch
full_dept (cz) Rozpoznávání obrazu
full_dept Department of Pattern Recognition
department (cz) RO
department RO
institution UTIA-B
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2012/RO/haindl-potts compound markovian texture model.pdf
cas_special
project
project_id 409/2011
agency CESNET
country CZ
project
project_id GAP103/11/0335
agency GA ČR
ARLID cav_un_auth*0273627
project
project_id GA102/08/0593
agency GA ČR
ARLID cav_un_auth*0239567
abstract (eng) This paper describes a novel multispectral parametric compound Markov random field model for texture synthesis. The proposed compound Markov random field model connects a parametric control random field represented by a hierarchical Potts Markov random field model with analytically solvable wide-sense Markovian representation for single regions. The compound random field synthesis combines the modified fast Swendsen-Wang Markov Chain Monte Carlo sampling of the hierarchical Potts MRF part with the fast and analytical synthesis of single regional MRFs.
action
ARLID cav_un_auth*0286711
name 21st International Conference on Pattern Recognition (ICPR 2012)
place Tsukuba
dates 11.11.2012-15.11.2012
country JP
reportyear 2013
RIV BD
num_of_auth 3
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0007440
arlyear 2012
mrcbU63 cav_un_epca*0384215 Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012) 978-1-4673-2216-4 29 32 Piscataway IEEE Press 2012 IEEE Catalog Number : CFP12182-USB