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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F10%3A00346558%21RIV11-MSM-67985556
rdf:type
skos:Concept n21:Vysledek
dcterms:description
A content-based tile retrieval system based on the underlying multispectral Markov random field representation is introduced. Single tiles are represented by our approved textural features derived from especially efficient Markovian statistics and supplemented with Local Binary Patterns (LBP) features representing occasional tile inhomogeneities. Markovian features are on top of that also invariant to illumination colour and robust to illumination direction variations, therefore an arbitrary illuminated tiles do not negatively influence the retrieval result. The presented computer-aided tile consulting system retrieves tiles from recent tile production digital catalogues, so that the retrieved tiles have as similar pattern and/or colours to a query tile as possible. The system is verified on a large commercial tile database in a psychovisual experiment. A content-based tile retrieval system based on the underlying multispectral Markov random field representation is introduced. Single tiles are represented by our approved textural features derived from especially efficient Markovian statistics and supplemented with Local Binary Patterns (LBP) features representing occasional tile inhomogeneities. Markovian features are on top of that also invariant to illumination colour and robust to illumination direction variations, therefore an arbitrary illuminated tiles do not negatively influence the retrieval result. The presented computer-aided tile consulting system retrieves tiles from recent tile production digital catalogues, so that the retrieved tiles have as similar pattern and/or colours to a query tile as possible. The system is verified on a large commercial tile database in a psychovisual experiment.
dcterms:title
Content-Based Tile Retrieval System Content-Based Tile Retrieval System
skos:prefLabel
Content-Based Tile Retrieval System Content-Based Tile Retrieval System
skos:notation
RIV/67985556:_____/10:00346558!RIV11-MSM-67985556
n3:aktivita
n4:P n4:Z
n3:aktivity
P(1M0572), P(2C06019), P(GA102/08/0593), Z(AV0Z10750506)
n3:dodaniDat
n18:2011
n3:domaciTvurceVysledku
n8:2890542 n8:1555170
n3:druhVysledku
n10:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
251960
n3:idVysledku
RIV/67985556:_____/10:00346558
n3:jazykVysledku
n7:eng
n3:klicovaSlova
content based image retrieval; textural features; colour; tile classification
n3:klicoveSlovo
n6:tile%20classification n6:textural%20features n6:content%20based%20image%20retrieval n6:colour
n3:kontrolniKodProRIV
[622386112270]
n3:mistoKonaniAkce
Cesme, Izmir
n3:mistoVydani
Berlin / Heidelberg
n3:nazevZdroje
Structural, Syntactic, and Statistical Pattern Recognition
n3:obor
n5:BD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n11:GA102%2F08%2F0593 n11:2C06019 n11:1M0572
n3:rokUplatneniVysledku
n18:2010
n3:tvurceVysledku
Haindl, Michal Vácha, Pavel
n3:typAkce
n17:WRD
n3:zahajeniAkce
2010-08-18+02:00
n3:zamer
n15:AV0Z10750506
s:numberOfPages
10
n14:hasPublisher
Springer-Verlag. (Berlin; Heidelberg)
n12:isbn
978-3-642-14979-5