Heterogeneity in chromatic distance in images and characterization of massive painting data set

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Painting is an art form that has long functioned as a major channel for the creative expression and communication of humans, its evolution taking place under an interplay with the science, technology, and social environments of the times. Therefore, understanding the process based on comprehensive data could shed light on how humans acted and manifested creatively under changing conditions. Yet, there exist few systematic frameworks that characterize the process for painting, which would require robust statistical methods for defining painting characteristics and identifying human's creative developments, and data of high quality and sufficient quantity. Here we propose that the color contrast of a painting image signifying the heterogeneity in inter-pixel chromatic distance can be a useful representation of its style, integrating both the color and geometry. From the color contrasts of paintings from a large-scale, comprehensive archive of 179 853 high-quality images spanning several centuries we characterize the temporal evolutionary patterns of paintings, and present a deep study of an extraordinary expansion in creative diversity and individuality that came to define the modern era.
Publisher
PUBLIC LIBRARY SCIENCE
Issue Date
2018-09
Language
English
Article Type
Article
Citation

PLOS ONE, v.13, no.9, pp.0204430

ISSN
1932-6203
DOI
10.1371/journal.pone.0204430
URI
http://hdl.handle.net/10203/246152
Appears in Collection
PH-Journal Papers(저널논문)GCT-Journal Papers(저널논문)
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