PREDICTING PERCEIVED COMPLEXITY USING LOCAL CONTRAST STATISTICS AND FRACTAL INFORMATION

  • L. KACHA Nagoya Institute of Technology, Graduate School of Engineering
  • N. MATSUMOTO Nagoya Institute of Technology, Graduate School of Engineering
  • A. MANSOURI Nagoya Institute of Technology, Graduate School of Engineering
  • A. CAVALCANTE Nagoya University, Graduate School of Information Science

Résumé

This study aims to explore visual complexity in streetscape composition using RMS contrast information and Fractal Analysis.
The dataset was composed of 74 streetscape images, taken in Algeria and Japan in daytime and nighttime. The evaluation and
analysis covered two phases: (1) Subjective quantification of perceived complexity using ranking method. (2) Visual
complexity measurement based on RMS contrast statistics and fractal characteristics of the streetscape images. The results
showed a positive correlation between the subjective ranking of complexity in streetscape images and the proposed measure of
visual complexity “α” as well as with the fractal dimension Db

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Comment citer
KACHA, L. et al. PREDICTING PERCEIVED COMPLEXITY USING LOCAL CONTRAST STATISTICS AND FRACTAL INFORMATION. Courrier du Savoir, [S.l.], v. 16, mai 2014. ISSN 1112-3338. Disponible à l'adresse : >http://revues.univ-biskra.dz/index.php/cds/article/view/391>. Date de consultation : 14 jui. 2020
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