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The Dissimilar in the Similar. An Attribute-guided Approach to the Subject-specific Classification of Art-historical Objects

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dc.contributor.authorSchneider, Stefanie
dc.contributor.authorSpringstein, Matthias
dc.contributor.authorRahnama, Javad
dc.contributor.authorHüllermeier, Eyke
dc.contributor.authorEwerth, Ralph
dc.contributor.authorKohle, Hubertus
dc.contributor.editorReussner, Ralf H.
dc.contributor.editorKoziolek, Anne
dc.contributor.editorHeinrich, Robert
dc.date.accessioned2021-01-27T13:33:24Z
dc.date.available2021-01-27T13:33:24Z
dc.date.issued2021
dc.description.abstractDue to the increasingly unmanageable number of art-historical inventories made available in digital form, methods that computationally arrange larger amounts of objects are becoming more important. The category of similarity, which is fundamental in all areas of art-historical description, gains new relevance in this context. In this paper, we propose a novel approach to the subject-specific classification of art-historical objects that utilizes expert-based attributes, i.e., significant figurative motifs. We evaluate our procedure on a concrete use case, representations of saints in the visual arts. A representative data set of saints images is collected and a semi-supervised learning technique applied to enrich the data set with neural style transfer as well as to improve the joint training of saints and their attributes. We show that this technique outperforms other approaches.en
dc.identifier.doi10.18420/inf2020_127
dc.identifier.isbn978-3-88579-701-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34717
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2020
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-307
dc.subjectSemi-supervised Learning
dc.subjectSemi-supervised Image Classification
dc.subjectArt Analysis
dc.subjectDigital Humanities
dc.titleThe Dissimilar in the Similar. An Attribute-guided Approach to the Subject-specific Classification of Art-historical Objectsen
gi.citation.endPage1364
gi.citation.startPage1355
gi.conference.date28. September - 2. Oktober 2020
gi.conference.locationKarlsruhe
gi.conference.sessiontitleMethoden und Anwendungen der Computational Humanities

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