A Plausible Texture Enlargement and Editing Compound Markovian Model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F12%3A00380283" target="_blank" >RIV/67985556:_____/12:00380283 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31160/12:00041211
Result on the web
<a href="http://www.springerlink.com/content/047124j43073m202/" target="_blank" >http://www.springerlink.com/content/047124j43073m202/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-32436-9_12" target="_blank" >10.1007/978-3-642-32436-9_12</a>
Alternative languages
Result language
angličtina
Original language name
A Plausible Texture Enlargement and Editing Compound Markovian Model
Original language description
This paper describes high visual quality compound Markov random field texture model capable to realistically model multispectral bidirectional texture function, which is currently the most advanced representation of visual properties of surface materials. The presented compound Markov random field model combines a non-parametric control random field with analytically solvable wide-sense Markov representation for single regions and thus allows very efficient non-iterative parameters estimation as well asthe compound random field synthesis. The compound Markov random field model is utilized for realistic texture compression, enlargement, and powerful automatic texture editing. Edited textures maintain their original layout but adopt anticipated local characteristics from one or several parent target textures.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computational Intelligence for Multimedia Understanding
ISBN
978-3-642-32435-2
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
138-148
Publisher name
Springer
Place of publication
Berlin
Event location
Pisa
Event date
Dec 13, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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