Synthetic images : data-based aesthetics

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dc.contributor.authorLee, Rosemary
dc.date.accessioned2024-03-11T15:21:26Z
dc.date.available2024-03-11T15:21:26Z
dc.date.issued2023-12
dc.descriptionLive interfaces journalpt
dc.descriptionhttps://doi.org/10.60543/liveinterfacesjournal.v1i1.9143en
dc.description.abstractThis essay examines how data-based practices contribute to new perspectives on the empirical value of images. Recent methods employing machine learning enable visualisations to be produced based on the large-scale analysis of data but that are detached from direct sensorial observation, subverting the forms of visual objectivity traditionally associated with technical and scientific methods of image-making. This research aims to develop insights into the forms of visual knowledge that these methods may give rise to, as well as facilitating critical discourse on the grounding of visual practices in relation to technical and scientific methods.en
dc.formatapplication/pdfpt
dc.identifier.otherhttps://doi.org/10.60543/liveinterfacesjournal.v1i1.9143en
dc.identifier.urihttp://hdl.handle.net/10437/14559
dc.language.isoengpt
dc.publisherUniversidade Lusófonapt
dc.rightsopenAccesspt
dc.subjectAUDIOVISUALpt
dc.subjectAUDIOVISUALen
dc.subjectAPRENDIZAGEM COMPUTACIONALpt
dc.subjectMACHINE LEARNINGen
dc.subjectEPISTEMOLOGIApt
dc.subjectEPISTEMOLOGYen
dc.subjectESTÉTICA DIGITALpt
dc.subjectDIGITAL AESTHETICSen
dc.subjectVISUALIZAÇÃO DE DADOSpt
dc.subjectDATA VISUALIZATIONen
dc.subjectCOMPUTAÇÃO VISUALpt
dc.subjectVISUAL COMPUTINGen
dc.titleSynthetic images : data-based aestheticsen
dc.typearticleen

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Live Interfaces Journal, v. 1 n. 1 (2023)