About: Annotating images with suggestions - user study of a tagging system

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

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper explores the concept of image-wise tagging. It introduces a web-based user interface for image annotation, and a novel method for modeling dependencies of tags using Restricted Boltzmann Machines which is able to suggest probable tags for an image based on previously assigned tags. According to our user study, our tag suggestion methods improve both user experience and annotation speed. Our results demonstrate that large datasets with semantic labels (such as in TRECVID Semantic Indexing) can be annotated much more efficiently with the proposed approach than with current class-domain-wise methods, and produce higher quality data. This paper explores the concept of image-wise tagging. It introduces a web-based user interface for image annotation, and a novel method for modeling dependencies of tags using Restricted Boltzmann Machines which is able to suggest probable tags for an image based on previously assigned tags. According to our user study, our tag suggestion methods improve both user experience and annotation speed. Our results demonstrate that large datasets with semantic labels (such as in TRECVID Semantic Indexing) can be annotated much more efficiently with the proposed approach than with current class-domain-wise methods, and produce higher quality data. (en)
Title	Annotating images with suggestions - user study of a tagging system Annotating images with suggestions - user study of a tagging system (en)
skos:prefLabel	Annotating images with suggestions - user study of a tagging system Annotating images with suggestions - user study of a tagging system (en)
skos:notation	RIV/00216305:26230/12:PU101780!RIV14-MSM-26230___
http://linked.open...avai/riv/aktivita	P S Z
http://linked.open...avai/riv/aktivity	P(7E12055), S, Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Smrž, Pavel Zemčík, Pavel Hradiš, Michal Král, Jiří Láník, Aleš Kolář, Martin
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 informačních technologií
http://linked.open...dnocenehoVysledku	122826
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/12:PU101780
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Restricted Boltzmann Machine, human-assisted learning, user interface, image tagging, crowdsourcing, image classification (en)
http://linked.open.../riv/klicoveSlovo	image classification Restricted Boltzmann Machine human-assisted learning image tagging crowdsourcing user interface
http://linked.open...ontrolniKodProRIV	[67917BB7C1A6]
http://linked.open...v/mistoKonaniAkce	Faculty of Information Technology, Brno Universi
http://linked.open...i/riv/mistoVydani	Brno
http://linked.open...i/riv/nazevZdroje	Advanced Concepts for Intelligent Vision Systems
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	6 (xsd:int)
http://linked.open...cetTvurcuVysledku	6 (xsd:int)
http://linked.open...vavai/riv/projekt	GLOCAL: Event-based Retrieval of Networked Media
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Král, Jiří Kolář, Martin Smrž, Pavel Zemčík, Pavel Hradiš, Michal Láník, Aleš
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2012-09-04 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Výzkum informačních technologií z hlediska bezpečnosti
number of pages	12 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-33140-4_14
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-33139-8
http://localhost/t...ganizacniJednotka	26230

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