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Statements

Subject Item
n2:RIV%2F68407700%3A21240%2F13%3A00216706%21RIV14-MSM-21240___
rdf:type
n9:Vysledek skos:Concept
rdfs:seeAlso
http://www.sccg.sk
dcterms:description
A simple fast approach for dynamic texture synthesize that realistically matches given color or multispectral texture appearance and respects its original optic flow is presented. The method generalizes the prominent static double toroid-shaped texture modeling method to the dynamic texture synthesis domain. The analytical part of the method is based on optimal overlapping tiling and subsequent minimum boundary cut. The optimal toroid-shaped dynamic texture patches are created in each spatial and time dimension, respectively. The time dimension tile border is derived from the optical flow of the modeled texture. The toroid-shaped tiles are created in the analytical step which is completely separated from the synthesis part. Thus the presented method is extremely fast and capable to enlarge a learned natural dynamic texture spatially and temporally in real-time. A simple fast approach for dynamic texture synthesize that realistically matches given color or multispectral texture appearance and respects its original optic flow is presented. The method generalizes the prominent static double toroid-shaped texture modeling method to the dynamic texture synthesis domain. The analytical part of the method is based on optimal overlapping tiling and subsequent minimum boundary cut. The optimal toroid-shaped dynamic texture patches are created in each spatial and time dimension, respectively. The time dimension tile border is derived from the optical flow of the modeled texture. The toroid-shaped tiles are created in the analytical step which is completely separated from the synthesis part. Thus the presented method is extremely fast and capable to enlarge a learned natural dynamic texture spatially and temporally in real-time.
dcterms:title
Dynamic Texture Enlargement Dynamic Texture Enlargement
skos:prefLabel
Dynamic Texture Enlargement Dynamic Texture Enlargement
skos:notation
RIV/68407700:21240/13:00216706!RIV14-MSM-21240___
n9:predkladatel
n10:orjk%3A21240
n5:aktivita
n19:P n19:I
n5:aktivity
I, P(GA102/08/0593), P(GAP103/11/0335)
n5:dodaniDat
n12:2014
n5:domaciTvurceVysledku
n20:2890542
n5:druhVysledku
n18:D
n5:duvernostUdaju
n23:S
n5:entitaPredkladatele
n13:predkladatel
n5:idSjednocenehoVysledku
70904
n5:idVysledku
RIV/68407700:21240/13:00216706
n5:jazykVysledku
n17:eng
n5:klicovaSlova
Computer Graphics; Dynamic Texture Modeling; Image Generation
n5:klicoveSlovo
n6:Computer%20Graphics n6:Dynamic%20Texture%20Modeling n6:Image%20Generation
n5:kontrolniKodProRIV
[318B61A27E4F]
n5:mistoKonaniAkce
Smolenice, Slovakia
n5:mistoVydani
Bratislava
n5:nazevZdroje
29th Proceedings Spring Conference on Computer Graphics 2013
n5:obor
n21:BD
n5:pocetDomacichTvurcuVysledku
1
n5:pocetTvurcuVysledku
2
n5:projekt
n8:GAP103%2F11%2F0335 n8:GA102%2F08%2F0593
n5:rokUplatneniVysledku
n12:2013
n5:tvurceVysledku
Haindl, Michal Richtr, Radek
n5:typAkce
n16:WRD
n5:zahajeniAkce
2013-05-01+02:00
s:numberOfPages
8
n14:doi
10.1145/2508244.2508245
n24:hasPublisher
Univerzita Komenského v Bratislave
n22:isbn
978-80-223-3377-1
n7:organizacniJednotka
21240