Multispectral Texture Fidelity Measure
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F18%3A00497358" target="_blank" >RIV/67985556:_____/18:00497358 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/SITIS.2018.00106" target="_blank" >http://dx.doi.org/10.1109/SITIS.2018.00106</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SITIS.2018.00106" target="_blank" >10.1109/SITIS.2018.00106</a>
Alternative languages
Result language
angličtina
Original language name
Multispectral Texture Fidelity Measure
Original language description
Automatic texture fidelity assessment that would correspond to the human visual perception is an important, but still unsolved computer vision problem with numerous useful applications in the various vision application areas such as image compression and modeling, video streaming or fast image database retrieval. The problem is not satisfyingly solved even for the most simple static monospectral texture representation thus progress in the automatic assessment of texture fidelity is required. We propose improved multiresolution texture fidelity measure based on Markovian random field texture model, which correlates well with human texture fidelity evaluation obtained from texture fidelity benchmark.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SITIS 2018. Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems
ISBN
978-1-5386-9385-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
658-663
Publisher name
IEEE Computer Society CPS
Place of publication
Los Alamitos
Event location
Las Palmas de Gran Canaria
Event date
Nov 26, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000469258400095