About: Shape Extraction Framework for Similarity Search in Image Databases

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Shape Extraction Framework for Similarity Search in Image Databases Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Rámec pro extrakci tvarů z obrazových databází pro podobnostní vyhledávání (cs) 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. 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. (en)
Title	Shape Extraction Framework for Similarity Search in Image Databases Rámec pro extrakci tvarů z obrazových databází pro podobnostní vyhledávání (cs) Shape Extraction Framework for Similarity Search in Image Databases (en)
skos:prefLabel	Shape Extraction Framework for Similarity Search in Image Databases Rámec pro extrakci tvarů z obrazových databází pro podobnostní vyhledávání (cs) Shape Extraction Framework for Similarity Search in Image Databases (en)
skos:notation	RIV/00216208:11320/07:00005161!RIV08-MSM-11320___
http://linked.open.../vavai/riv/strany	89;102
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(GP201/05/P036), Z(MSM0021620838)
http://linked.open...iv/cisloPeriodika	Neuveden
http://linked.open...vai/riv/dodaniDat	2008
http://linked.open...aciTvurceVysledku	Skopal, Tomáš
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Karlova v Praze / Matematicko-fyzikální fakulta
http://linked.open...dnocenehoVysledku	449667
http://linked.open...ai/riv/idVysledku	RIV/00216208:11320/07:00005161
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Shape; Extraction; Framework; Similarity; Search; Image; Databases (en)
http://linked.open.../riv/klicoveSlovo	Framework Search Extraction Databases Similarity Shape Image
http://linked.open...odStatuVydavatele	GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV	[8C7C768A2E3B]
http://linked.open...i/riv/nazevZdroje	CEUR Workshop Proceedings
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Efficient metric search in large multimedia databases
http://linked.open...UplatneniVysledku	2007
http://linked.open...v/svazekPeriodika	235
http://linked.open...iv/tvurceVysledku	Skopal, Tomáš
http://linked.open...n/vavai/riv/zamer	Moderní metody, struktury a systémy informatiky
issn	1613-0073
number of pages	14 (xsd:int)
http://localhost/t...ganizacniJednotka	11320
is http://linked.open...avai/riv/vysledek of	Shape Extraction Framework for Similarity Search in Image Databases Shape Extraction Framework for Similarity Search in Image Databases Shape Extraction Framework for Similarity Search in Image Databases

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 19 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software