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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F07%3A00005161%21RIV08-MSM-11320___
rdf:type
skos:Concept n12:Vysledek
dcterms:description
The task of similarity search in image databases has been studied for decades, while there have been many feature extraction techniques proposed. Among the mass of low-level techniques dealing with color, texture, layout, etc., an extraction of shapes provides better semantic description of the content in raster image. However, even such specific task as shape extraction is very complex, so the mere knowledge of particular raster transformation and shape-extraction techniques does not give us an answer what methods should be preffered and how to combine them, in order to achieve the desired effect in similarity search. In this paper we propose a framework consisting of low-level interconnectable components, which allows the user to easily configure the flow of transformations leading to shape extraction. Based on experiments, we also propose typical scenarios of transformation flow, with respect to the best shape-based description of the image content. Rámec pro extrakci tvarů z obrazových databází pro podobnostní vyhledávání The task of similarity search in image databases has been studied for decades, while there have been many feature extraction techniques proposed. Among the mass of low-level techniques dealing with color, texture, layout, etc., an extraction of shapes provides better semantic description of the content in raster image. However, even such specific task as shape extraction is very complex, so the mere knowledge of particular raster transformation and shape-extraction techniques does not give us an answer what methods should be preffered and how to combine them, in order to achieve the desired effect in similarity search. In this paper we propose a framework consisting of low-level interconnectable components, which allows the user to easily configure the flow of transformations leading to shape extraction. Based on experiments, we also propose typical scenarios of transformation flow, with respect to the best shape-based description of the image content.
dcterms:title
Shape Extraction Framework for Similarity Search in Image Databases Rámec pro extrakci tvarů z obrazových databází pro podobnostní vyhledávání Shape Extraction Framework for Similarity Search in Image Databases
skos:prefLabel
Shape Extraction Framework for Similarity Search in Image Databases Rámec pro extrakci tvarů z obrazových databází pro podobnostní vyhledávání Shape Extraction Framework for Similarity Search in Image Databases
skos:notation
RIV/00216208:11320/07:00005161!RIV08-MSM-11320___
n3:strany
89;102
n3:aktivita
n14:Z n14:P
n3:aktivity
P(GP201/05/P036), Z(MSM0021620838)
n3:cisloPeriodika
Neuveden
n3:dodaniDat
n11:2008
n3:domaciTvurceVysledku
n15:5851726
n3:druhVysledku
n17:J
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n19:predkladatel
n3:idSjednocenehoVysledku
449667
n3:idVysledku
RIV/00216208:11320/07:00005161
n3:jazykVysledku
n8:eng
n3:klicovaSlova
Shape; Extraction; Framework; Similarity; Search; Image; Databases
n3:klicoveSlovo
n6:Extraction n6:Databases n6:Framework n6:Image n6:Shape n6:Search n6:Similarity
n3:kodStatuVydavatele
GB - Spojené království Velké Británie a Severního Irska
n3:kontrolniKodProRIV
[8C7C768A2E3B]
n3:nazevZdroje
CEUR Workshop Proceedings
n3:obor
n18:JC
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:projekt
n4:GP201%2F05%2FP036
n3:rokUplatneniVysledku
n11:2007
n3:svazekPeriodika
235
n3:tvurceVysledku
Skopal, Tomáš
n3:zamer
n9:MSM0021620838
s:issn
1613-0073
s:numberOfPages
14
n7:organizacniJednotka
11320