survey of computational methods for iconic image analysis.
Digitization and digitalization efforts have led to an explosive growth of the number of images that are published, shared, and made available in collections. In turn, this has resulted in increased awareness of, and interest in, computational methods for automatic image analysis. Despite the tremen...
| Publicado en: | Digital Scholarship in the Humanities Vol. 37; no. 4; pp. 1316 - 1339 |
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| Formato: | Artículo |
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Oxford University Press / USA
Dec2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=159850239&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 159850239 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Dec2022 vid: 37 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 159850239 10.1093/llc/fqac003 ppf: 1316 ppct: 23 formats: fmt: – @attributes: type: T – @attributes: type: P size: 711KB tig: atl: survey of computational methods for iconic image analysis. aug: au: Noord, Nanne van affil: Informatics Institute, University of Amsterdam, Amsterdam , The Netherlands su: Image analysis Digitization sug: subj: Image analysis Digitization ab: Digitization and digitalization efforts have led to an explosive growth of the number of images that are published, shared, and made available in collections. In turn, this has resulted in increased awareness of, and interest in, computational methods for automatic image analysis. Despite the tremendous progress made in the development of computational methods, there remains a gap between how a person interprets an image and what can be automatically extracted. By considering iconic images as those images for which this gap is most salient, as their meaning goes well beyond what is represented in the visual data, this article gives an overview of the potential and limitations of computational methods for iconic image analysis. I structure this overview by discussing methods that can be used to analyse the production, distribution, and reception of iconic images. Although the majority of computational methods focus on analysing production aspects, there are promising methods for image distribution aspects, whereas methods for studying image reception have received little attention. By considering the limitations of available methods I argue that computational methods can be of use for studying iconic images, but that comprehensive analysis will require methods that incorporate the plurality of meanings an image can have, and temporal nature thereof. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2022 holdings: @attributes: islocal: N |
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