Attesting similarity: supporting the organization and study of art image collections with computer vision
Abstract. Digital possibilities and the presence of large image collections urged art history to reassess existing methods to study artworks. Big data facilita
Gespeichert in:
| Hauptverfasser: | , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
09 April 2018
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| In: |
Digital scholarship in the humanities
Year: 2018, Jahrgang: 33, Heft: 4, Pages: 845-856 |
| ISSN: | 2055-768X |
| DOI: | 10.1093/llc/fqy006 |
| Online-Zugang: | Verlag, Volltext: https://doi.org/10.1093/llc/fqy006 Verlag: https://academic.oup.com/dsh/article/33/4/845/4964861 
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| Verfasserangaben: | Sabine Lang and Björn Ommer |
| Zusammenfassung: | Abstract. Digital possibilities and the presence of large image collections urged art history to reassess existing methods to study artworks. Big data facilita |
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| Beschreibung: | Gesehen am 30.10.2019 |
| Beschreibung: | Online Resource |
| ISSN: | 2055-768X |
| DOI: | 10.1093/llc/fqy006 |