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Data Analytics for Cultural Heritage pp 173–193Cite as

Aesthetical Issues with Stochastic Evaluation

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Abstract

Throughout human history, the quantification of aesthetics has intrigued philosophers, artists, and mathematicians alike. In this chapter, a methodology based on stochastic mathematics is applied for the quantification of aesthetic attributes of paintings and landscapes. The paintings analyzed include Da Vinci, Pablo Picasso, and various other celebrated paintings from 1250 AD to modern times. In regard to landscapes, the analysis focuses on the aesthetic transformations imposed to landscapes from wind energy projects. The methodology used is called stochastic 2D-C analysis and is based on a stochastic computational tool that analyzes brightness fluctuation in images. The 2D-C tool is used to measure the degree of variability and in particular the change in variability vs. scale. The application of the tool provides (a) input on the qualitative efficiency of mainstream methods used in landscape-impact analysis, (b) insights into the expression forms of the examined artists and historical periods, and finally (c) evidence that can be used in the search of the originality of an artwork of disputed authorship.

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Author information

Authors and Affiliations

  1. Laboratory of Hydrology and Water Resources Development, School of Civil Engineering, National Technical University of Athens, Athens, Greece

    G.-Fivos Sargentis, Romanos Ioannidis, Panayiotis Dimitriadis & Demetris Koutsoyiannis

  2. School of Architecture, National Technical University of Athens, Athens, Greece

    Michalis Chiotinis

Authors
  1. G.-Fivos Sargentis
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  2. Romanos Ioannidis
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  3. Michalis Chiotinis
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  4. Panayiotis Dimitriadis
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  5. Demetris Koutsoyiannis
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Corresponding author

Correspondence to G.-Fivos Sargentis .

Editor information

Editors and Affiliations

  1. CSE, College of Engineering, Qatar University, Doha, Qatar

    Abdelhak Belhi

  2. CSE, College of Engineering & Office of Research Support, VPGRS, Qatar University, Doha, Qatar

    Abdelaziz Bouras

  3. KINDI Center, College of Engineering, Qatar University, Doha, Qatar

    Abdulaziz Khalid Al-Ali

  4. Brunel University London, Uxbridge, UK

    Abdul Hamid Sadka

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Sargentis, GF., Ioannidis, R., Chiotinis, M., Dimitriadis, P., Koutsoyiannis, D. (2021). Aesthetical Issues with Stochastic Evaluation. In: Belhi, A., Bouras, A., Al-Ali, A.K., Sadka, A.H. (eds) Data Analytics for Cultural Heritage. Springer, Cham. https://doi.org/10.1007/978-3-030-66777-1_8

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