About: IMMI: Interactive Segmentation Toolkit

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	General image segmentation is a non–trivial task, which requires significant computational power and huge amount of knowledge incorporated. Fortunately, it is not necessary in all the cases. In some specific cases, simpler non–supervised or supervised segmentation methods can be used giving even better results. In this paper, a novel trainable segmentation method based on RapidMiner data–mining platform is introduced, and its functionality is described. The method implementation was released under open–source license as a part of IMMI (IMage MIning) extension of the RapidMiner platform. When compared to other trainable segmentation algorithms, the platform provides flexibility connected with all the features of one of the most widely used data–mining platform today. The functionality has been verified on the satellite image use–case, accuracy achieving 78.3% pixel error. General image segmentation is a non–trivial task, which requires significant computational power and huge amount of knowledge incorporated. Fortunately, it is not necessary in all the cases. In some specific cases, simpler non–supervised or supervised segmentation methods can be used giving even better results. In this paper, a novel trainable segmentation method based on RapidMiner data–mining platform is introduced, and its functionality is described. The method implementation was released under open–source license as a part of IMMI (IMage MIning) extension of the RapidMiner platform. When compared to other trainable segmentation algorithms, the platform provides flexibility connected with all the features of one of the most widely used data–mining platform today. The functionality has been verified on the satellite image use–case, accuracy achieving 78.3% pixel error. (en)
Title	IMMI: Interactive Segmentation Toolkit IMMI: Interactive Segmentation Toolkit (en)
skos:prefLabel	IMMI: Interactive Segmentation Toolkit IMMI: Interactive Segmentation Toolkit (en)
skos:notation	RIV/00216305:26220/13:PU104757!RIV14-MPO-26220___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(FR-TI4/151), S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Burget, Radim Mašek, Jan Uher, Václav
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	78893
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/13:PU104757
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Classification, image segmentation, interactive tool, IMMI, RapidMiner (en)
http://linked.open.../riv/klicoveSlovo	RapidMiner IMMI interactive tool Classification image segmentation
http://linked.open...ontrolniKodProRIV	[999D4AE38D90]
http://linked.open...v/mistoKonaniAkce	Halkidiki
http://linked.open...i/riv/mistoVydani	Heidelberg
http://linked.open...i/riv/nazevZdroje	Engineering Applications of Neural Networks
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Výzkum a vývoj technologie pro detekci emocí v nestrukturovaných datech
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Burget, Radim Mašek, Jan Uher, Václav
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-09-13 (xsd:date)
number of pages	510 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-41013-0_39
http://purl.org/ne...btex#hasPublisher	Springer-Verlag. (Berlin; Heidelberg)
https://schema.org/isbn	978-3-642-41012-3
http://localhost/t...ganizacniJednotka	26220

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