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Statistical image properties of print advertisements, visual artworks and images of architecture
Most visual advertisements are designed to attract attention, often by inducing a pleasant impression in human observers. Accordingly, results from brain imaging studies show that advertisements can activate the brain's reward circuitry, which is also involved in the perception of other visuall...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3817471/ https://www.ncbi.nlm.nih.gov/pubmed/24204353 http://dx.doi.org/10.3389/fpsyg.2013.00808 |
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author | Braun, Julia Amirshahi, Seyed A. Denzler, Joachim Redies, Christoph |
author_facet | Braun, Julia Amirshahi, Seyed A. Denzler, Joachim Redies, Christoph |
author_sort | Braun, Julia |
collection | PubMed |
description | Most visual advertisements are designed to attract attention, often by inducing a pleasant impression in human observers. Accordingly, results from brain imaging studies show that advertisements can activate the brain's reward circuitry, which is also involved in the perception of other visually pleasing images, such as artworks. At the image level, large subsets of artworks are characterized by specific statistical image properties, such as a high self-similarity and intermediate complexity. Moreover, some image properties are distributed uniformly across orientations in the artworks (low anisotropy). In the present study, we asked whether images of advertisements share these properties. To answer this question, subsets of different types of advertisements (single-product print advertisements, supermarket and department store leaflets, magazine covers and show windows) were analyzed using computer vision algorithms and compared to other types of images (photographs of simple objects, faces, large-vista natural scenes and branches). We show that, on average, images of advertisements and artworks share a similar degree of complexity (fractal dimension) and self-similarity, as well as similarities in the Fourier spectrum. However, images of advertisements are more anisotropic than artworks. Values for single-product advertisements resemble each other, independent of the type of product promoted (cars, cosmetics, fashion or other products). For comparison, we studied images of architecture as another type of visually pleasing stimuli and obtained comparable results. These findings support the general idea that, on average, man-made visually pleasing images are characterized by specific patterns of higher-order (global) image properties that distinguish them from other types of images. Whether these properties are necessary or sufficient to induce aesthetic perception and how they correlate with brain activation upon viewing advertisements remains to be investigated. |
format | Online Article Text |
id | pubmed-3817471 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-38174712013-11-07 Statistical image properties of print advertisements, visual artworks and images of architecture Braun, Julia Amirshahi, Seyed A. Denzler, Joachim Redies, Christoph Front Psychol Psychology Most visual advertisements are designed to attract attention, often by inducing a pleasant impression in human observers. Accordingly, results from brain imaging studies show that advertisements can activate the brain's reward circuitry, which is also involved in the perception of other visually pleasing images, such as artworks. At the image level, large subsets of artworks are characterized by specific statistical image properties, such as a high self-similarity and intermediate complexity. Moreover, some image properties are distributed uniformly across orientations in the artworks (low anisotropy). In the present study, we asked whether images of advertisements share these properties. To answer this question, subsets of different types of advertisements (single-product print advertisements, supermarket and department store leaflets, magazine covers and show windows) were analyzed using computer vision algorithms and compared to other types of images (photographs of simple objects, faces, large-vista natural scenes and branches). We show that, on average, images of advertisements and artworks share a similar degree of complexity (fractal dimension) and self-similarity, as well as similarities in the Fourier spectrum. However, images of advertisements are more anisotropic than artworks. Values for single-product advertisements resemble each other, independent of the type of product promoted (cars, cosmetics, fashion or other products). For comparison, we studied images of architecture as another type of visually pleasing stimuli and obtained comparable results. These findings support the general idea that, on average, man-made visually pleasing images are characterized by specific patterns of higher-order (global) image properties that distinguish them from other types of images. Whether these properties are necessary or sufficient to induce aesthetic perception and how they correlate with brain activation upon viewing advertisements remains to be investigated. Frontiers Media S.A. 2013-11-05 /pmc/articles/PMC3817471/ /pubmed/24204353 http://dx.doi.org/10.3389/fpsyg.2013.00808 Text en Copyright © 2013 Braun, Amirshahi, Denzler and Redies. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Braun, Julia Amirshahi, Seyed A. Denzler, Joachim Redies, Christoph Statistical image properties of print advertisements, visual artworks and images of architecture |
title | Statistical image properties of print advertisements, visual artworks and images of architecture |
title_full | Statistical image properties of print advertisements, visual artworks and images of architecture |
title_fullStr | Statistical image properties of print advertisements, visual artworks and images of architecture |
title_full_unstemmed | Statistical image properties of print advertisements, visual artworks and images of architecture |
title_short | Statistical image properties of print advertisements, visual artworks and images of architecture |
title_sort | statistical image properties of print advertisements, visual artworks and images of architecture |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3817471/ https://www.ncbi.nlm.nih.gov/pubmed/24204353 http://dx.doi.org/10.3389/fpsyg.2013.00808 |
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