Visual Data Recognition and Modeling Based on Local Markovian Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F12%3A00374142" target="_blank" >RIV/67985556:_____/12:00374142 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-1-4471-2353-8_14" target="_blank" >http://dx.doi.org/10.1007/978-1-4471-2353-8_14</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-1-4471-2353-8_14" target="_blank" >10.1007/978-1-4471-2353-8_14</a>
Alternative languages
Result language
angličtina
Original language name
Visual Data Recognition and Modeling Based on Local Markovian Models
Original language description
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 itsstatistics. 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.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
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
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Mathematical Methods for Signal and Image Analysis and Representation
ISBN
978-1-4471-2353-8
Number of pages of the result
19
Pages from-to
241-259
Number of pages of the book
317
Publisher name
Springer London
Place of publication
London
UT code for WoS chapter
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