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2020 | OriginalPaper | Buchkapitel

Demographic Influences on Contemporary Art with Unsupervised Style Embeddings

verfasst von : Nikolai Huckle, Noa Garcia, Yuta Nakashima

Erschienen in: Computer Vision – ECCV 2020 Workshops

Verlag: Springer International Publishing

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Abstract

Computational art analysis has, through its reliance on classification tasks, prioritised historical datasets in which the artworks are already well sorted with the necessary annotations. Art produced today, on the other hand, is numerous and easily accessible, through the internet and social networks that are used by professional and amateur artists alike to display their work. Although this art—yet unsorted in terms of style and genre—is less suited for supervised analysis, the data sources come with novel information that may help frame the visual content in equally novel ways. As a first step in this direction, we present contempArt, a multi-modal dataset of exclusively contemporary artworks. contempArt is a collection of paintings and drawings, a detailed graph network based on social connections on Instagram and additional socio-demographic information; all attached to 442 artists at the beginning of their career. We evaluate three methods suited for generating unsupervised style embeddings of images and correlate them with the remaining data. We find no connections between visual style on the one hand and social proximity, gender, and nationality on the other.

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Vorheriges Kapitel Understanding Compositional Structures in Art Historical Images Using Pose and Gaze Priors
Nächstes Kapitel Geolocating Time: Digitisation and Reverse Engineering of a Roman Sundial
Fußnoten
6
Images available on artists dedicated webpages are generally of high resolution and only depict their work. Contrary to Instagram, which limits the image resolution by default to \(1080\times 1080\) pixels and where the images uploaded by the artists were often noisy; e.g. taken from a larger distance or of artwork surrounded by objects. Cropping away unnecessary content further reduced the image size.
 
7
Two Instagram accounts were deleted or renamed during the data collection process so only their image data is available.
 
8
Definition of archetype: the original pattern or model of which all things of the same type are representations or copies [39].
 
9
Included styles: Abstract Art, Abstract Expressionism, Art Informel, Art Nouveau (Modern), Baroque, Cubism, Early Renaissance, Expressionism, High Renaissance, Impressionism, Naïve Art (Primitivism), Neoclassicism, Northern Renaissance, Post-Impressionism, Realism, Rococo, Romanticism, Surrealism, Symbolism, Ukiyo-e.
 
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Metadaten
Titel
Demographic Influences on Contemporary Art with Unsupervised Style Embeddings
verfasst von
Nikolai Huckle
Noa Garcia
Yuta Nakashima
Copyright-Jahr
2020
Buch
Computer Vision – ECCV 2020 Workshops

Print ISBN: 978-3-030-66095-6

Electronic ISBN: 978-3-030-66096-3

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-66096-3_10