The Upscaling of the Early Cinema Image through Artificial Intelligence. A New Aesthetics between Continuity and Dissent in Image Theory

Bibliographic Data

ID15035909
AuthorsLuís Navarrete-Cardero (0000-0002-7156-9144, Universidad de Sevilla, corresponding author), Carlos Ramírez-Moreno (0000-0003-1048-6326, Universidad Loyola)
Year2023
VolumeAvance en línea
Pages1-17
Publication date2023-10-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueArte individuo y sociedad (JOURNAL)
Journal identifiersISSN: 1131-5598 • E-ISSN: 1698-0611
PublisherUniversidad Complutense de Madrid (UCM) (PUBLISHER)
DOI10.5209/aris.90455
OpenAlexW4388021780
LanguageEN
References cited10

An active community of users is manipulating the image of early cinema using Machine Learning-based software. This practice, encompassed in the field of Artificial Intelligence, has transformed the materiality of these images, generating a mutated image as a result. Through a qualitative research design, based on a hermeneutic approach, this research aims to delimit the nature of this new image by observing it from the theoretical parameters that have shaped the specificity of the original filmic image. Starting from three historical concerns of film image theory, we have studied the interferences that this mutated image produces in the field of aesthetics, in its signifying relationship with reality and in its own ontology. Surprisingly, the new mutation presents a meagre break with the theoretical tradition of the cinematic image, oscillating between a slight dissidence and a marked continuity of its postulates

Aesthetics · Art · Epistemology · Field (mathematics · Image (mathematics · Materiality (auditing · Movie theater · Sociology · Visual arts · Aesthetic Perception and Analysis · Communication and COVID-19 Impact · Computer Science · Mathematics · Philosophy · Artificial Intelligence

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