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dc.contributor.authorSinatti, Eugenia
dc.contributor.authorWeckert, Simon
dc.contributor.authorDobrzalski, Ewelina
dc.date.accessioned2022-04-02T17:06:28Z
dc.date.available2022-04-02T17:06:28Z
dc.date.issued2022
dc.identifier.issn2196-6826
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/38582
dc.description.abstractImage Garden is an AI-based toolbox for curating collections and designing smart exhibitions that was developed by ART+COM Studios [ART+COM Studios. 2021. ART+COM. https://artcom.de/en/] in the research project QURATOR [QURATOR Bündnis. 2021. Qurator. https://qurator.ai]. This paper describes the application scenarios underlying the development of Image Garden. It also presents the technologies integrated in its processing pipeline, and sketches Show Cases that were implemented to demonstrate and evaluate functionality and usability.en
dc.language.isoen
dc.publisherDe Gruyter
dc.relation.ispartofi-com: Vol. 21, No. 1
dc.subjectDigital Curation
dc.subjectMuseum Collections
dc.subjectSmart Exhibitions
dc.subjectMachine Learning
dc.subjectImage Clustering
dc.subjectDimension Reduction
dc.subjectEdge Detection
dc.subjectColour Recognition
dc.subjectLatent Space
dc.titleImage Garden - Curating Collections and Designing Smart Exhibitions with AI-Based Toolsen
dc.typeText/Journal Article
dc.pubPlaceBerlin
mci.reference.pages83-94
dc.identifier.doi10.1515/icom-2022-0010


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