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Juger du Beau avec subjectivité : le défi de l’esthétique computationnelle

Abstract : Artificial Intelligence based photography beauty assessment have received a great attention in the last 25 years. They may now claim noticeable performances in replacing the human observer. However, they face limitations which are rooted in the basic choices of the machine learning stage, borrowed from the old Platonism, i.e. the poor place let to a specific observer in the assessment value. Several tracks are explored to short-cut these limitations, based on very different approaches. This paper is presenting an overview of these proposals to re-introduce subjectivity in computational aesthetic assessment and to discuss their foundations.
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Contributor : Henri Maitre Connect in order to contact the contributor
Submitted on : Friday, January 8, 2021 - 8:31:39 AM
Last modification on : Thursday, March 3, 2022 - 11:28:03 AM

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Henri Maître. Juger du Beau avec subjectivité : le défi de l’esthétique computationnelle. ISTE Openscience, 2020, Arts et Sciences, 4 (4), ⟨10.21494/ISTE.OP.2020.0588⟩. ⟨hal-03103273⟩



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