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Dissecting landscape art history with information theory

Lee, Byunghwee ; Seo, Min Kyung ; Kim, Daniel ; Shin, In-seob ; Schich, Maximilian ; Jeong, Hawoong ; Han, Seung Kee

Proceedings of the National Academy of Sciences - PNAS, 2020-10, Vol.117 (43), p.26580-26590 [Periódico revisado por pares]

United States: National Academy of Sciences

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  • Título:
    Dissecting landscape art history with information theory
  • Autor: Lee, Byunghwee ; Seo, Min Kyung ; Kim, Daniel ; Shin, In-seob ; Schich, Maximilian ; Jeong, Hawoong ; Han, Seung Kee
  • Assuntos: Art history ; Artists ; Cognitive ability ; Dissection ; Evolution ; Historians ; Information theory ; Physical Sciences ; Qualitative analysis ; Scholarships & fellowships ; Social factors ; Social interactions
  • É parte de: Proceedings of the National Academy of Sciences - PNAS, 2020-10, Vol.117 (43), p.26580-26590
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
    Edited by Matjaž Perc, University of Maribor, Maribor, Slovenia, and accepted by Editorial Board Member Herbert Levine August 25, 2020 (received for review June 10, 2020)
    Author contributions: B.L., M.K.S., M.S., H.J., and S.K.H. designed research; B.L. and M.K.S. performed research; I.-s.S. and S.K.H. contributed new reagents/analytic tools; B.L., M.K.S., M.S., H.J., and S.K.H. analyzed data; and B.L., D.K., M.S., H.J., and S.K.H. wrote the paper.
    1B.L. and M.K.S. contributed equally to this work.
  • Descrição: Painting has played a major role in human expression, evolving subject to a complex interplay of representational conventions, social interactions, and a process of historization. From individual qualitative work of art historians emerges a metanarrative that remains difficult to evaluate in its validity regarding emergent macroscopic and underlying microscopic dynamics. The full scope of granular data, the summary statistics, and consequently, also their bias simply lie beyond the cognitive limit of individual qualitative human scholarship. Yet, a more quantitative understanding is still lacking, driven by a lack of data and a persistent dominance of qualitative scholarship in art history. Here, we show that quantitative analyses of creative processes in landscape painting can shed light, provide a systematic verification, and allow for questioning the emerging metanarrative. Using a quasicanonical benchmark dataset of 14,912 landscape paintings, covering a period from the Western renaissance to contemporary art, we systematically analyze the evolution of compositional proportion via a simple yet coherent information-theoretic dissection method that captures iterations of the dominant horizontal and vertical partition directions. Tracing frequency distributions of seemingly preferred compositions across several conceptual dimensions, we find that dominant dissection ratios can serve as a meaningful signature to capture the unique compositional characteristics and systematic evolution of individual artist bodies of work, creation date time spans, and conventional style periods, while concepts of artist nationality remain problematic. Network analyses of individual artists and style periods clarify their rhizomatic confusion while uncovering three distinguished yet nonintuitive supergroups that are meaningfully clustered in time.
  • Editor: United States: National Academy of Sciences
  • Idioma: Inglês
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