Using CNN Features to Better Understand What Makes Visual Artworks Special.

Brachmann, Anselm; Barth, Erhardt; Redies, Christoph

Brachmann, Anselm; Barth, Erhardt; Redies, Christoph.

Afiliación

Brachmann A; Experimental Aesthetics Group, Institute of Anatomy, School of Medicine, Jena University Hospital, University of JenaJena, Germany.
Barth E; Institute of Neuro- and Bioinformatics, University of LübeckLübeck, Germany.
Redies C; Experimental Aesthetics Group, Institute of Anatomy, School of Medicine, Jena University Hospital, University of JenaJena, Germany.

Front Psychol ; 8: 830, 2017.

Article en En | MEDLINE | ID: mdl-28588537

Palabras clave

CNN feature responses; aesthetic perception; experimental aesthetics; richness; self-similarity; statistical image properties; visual art

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Psychol Año: 2017 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Suiza

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