Toward the Standardisation of Annotation Data for Patrimonial Images: A Case of Layout Detection for Art Magazines.
This article addresses the epistemological and methodological issues of computer vision applied to art historical corpora by highlighting the challenges of the use of heterogeneous and diverse formats and tools for annotation. Authors underline the importance of working towards the standardization o...
| Published in: | Digital Humanities in the Nordic & Baltic Countries Publications (DHNB Publications) Vol. 7; no. 3; pp. 1 - 17 |
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| Main Authors: | , |
| Format: | Article |
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University of Oslo
2025
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=190250209&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 190250209 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 27041441 NUGX jtl: Digital Humanities in the Nordic & Baltic Countries Publications (DHNB Publications) issn: 27041441 maglogo: N pubinfo: dt: 2025 vid: 7 iid: 3 pid: 58757 pub: University of Oslo artinfo: ui: 190250209 10.5617/dhnbpub.12268 ppf: 1 ppct: 16 formats: tig: atl: Toward the Standardisation of Annotation Data for Patrimonial Images: A Case of Layout Detection for Art Magazines. aug: au: Truc, Alice Maronet, Léa affil: Université de Montréal Université Rennes 2 Centre National de la Recherche Scientifique (CNRS) École Pratique des Hautes Études (EPHE) su: Standardization Annotations Object recognition (Computer vision) Photography archives Computer vision Magazine design Pattern perception sug: subj: Standardization Annotations Object recognition (Computer vision) Photography archives Computer vision Magazine design Pattern perception keyword: Annotation Ground truth Patrimonial images Segmentation Standards ab: This article addresses the epistemological and methodological issues of computer vision applied to art historical corpora by highlighting the challenges of the use of heterogeneous and diverse formats and tools for annotation. Authors underline the importance of working towards the standardization of patrimonial image annotation by addressing our need for interoperable and reproducible data, in order to fine-tune models for automatic object recognition applied to patrimonial images. The authors advocate that the sharing of annotation data should be assumed by collaborative endeavors among cultural institutions. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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