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
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| Main Authors: | , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
09 April 2018
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| In: |
Digital scholarship in the humanities
Year: 2018, Volume: 33, Issue: 4, Pages: 845-856 |
| ISSN: | 2055-768X |
| DOI: | 10.1093/llc/fqy006 |
| Online Access: | Verlag, Volltext: https://doi.org/10.1093/llc/fqy006 Verlag: https://academic.oup.com/dsh/article/33/4/845/4964861 
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| Author Notes: | Sabine Lang and Björn Ommer |
| Summary: | 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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| Item Description: | Gesehen am 30.10.2019 |
| Physical Description: | Online Resource |
| ISSN: | 2055-768X |
| DOI: | 10.1093/llc/fqy006 |