bibtype	M - Monography Chapter
ARLID	0374142
utime	20240103200603.6
mtime	20120302235959.9
DOI	10.1007/978-1-4471-2353-8_14
title (primary) (eng)	Visual Data Recognition and Modeling Based on Local Markovian Models
specification	page_count 19 s. book_pages 317
serial	ARLID cav_un_epca*0374141 ISBN 978-1-4471-2353-8 title Mathematical Methods for Signal and Image Analysis and Representation part_num 14 part_title Computational Imaging and Vision page_num 241-259 publisher place London name Springer London year 2012 editor name1 Florack name2 Luc editor name1 Duits name2 Remco editor name1 Jongbloed name2 Geurt editor name1 Lieshout name2 Marie-Colette editor name1 Davies name2 Laurie
keyword	Markov random fields
keyword	image modeling
keyword	image recognition
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.
source	url http://library.utia.cas.cz/separaty/2012/RO/haindl-0374142.pdf
cas_special	project project_id 1M0572 agency GA MŠk ARLID cav_un_auth*0001814 project project_id 387/2010 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 research CEZ:AV0Z10750506 abstract (eng) An exceptional 3D wide-sense Markov model which can be completely solved analytically and easily synthesised is presented. The model can be modified to faithfully represent complex local data by adaptive numerically robust recursive estimators of all its statistics. Illumination invariants can be derived from some of its recursive statistics and exploited in content based image retrieval, supervised or unsupervised image recognition. Its modelling efficiency is demonstrated on several analytical and modelling image applications, in particular on unsupervised image or range data segmentation, bidirectional texture function (BTF) synthesis and compression, dynamic texture synthesis and adaptive multispectral and multichannel image and video restoration. reportyear 2012 RIV BD num_of_auth 1 mrcbC52 4 A 4a 20231122134947.5 permalink http://hdl.handle.net/11104/0207127 arlyear 2012 mrcbTft \nSoubory v repozitáři: haindl-0374142.pdf mrcbU63 cav_un_epca*0374141 Mathematical Methods for Signal and Image Analysis and Representation 14 978-1-4471-2353-8 241 259 London Springer London 2012 Computational Imaging and Vision mrcbU67 Florack Luc 340 mrcbU67 Duits Remco 340 mrcbU67 Jongbloed Geurt 340 mrcbU67 Lieshout Marie-Colette 340 mrcbU67 Davies Laurie 340