Evolution of aesthetically pleasing images without human-in-the-loop

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Atkins:2010:cec,
  author =       "Daniel L Atkins and Roman Klapaukh and 
                 Will N Browne and Mengjie Zhang",
  title =        "Evolution of aesthetically pleasing images without
                 human-in-the-loop",
  booktitle =    "IEEE Congress on Evolutionary Computation (CEC 2010)",
  year =         "2010",
  address =      "Barcelona, Spain",
  month =        "18-23 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-4244-6910-9",
  abstract =     "Evolutionary Art is a sub-field of Evolutionary
                 Computing that involves creating interesting images
                 using Evolutionary Techniques. Previously Genetic
                 Programming has been used to create such images
                 autonomously -that is, without a human in the loop.
                 However, this work did not explore alternative fitness
                 measures, consider colour in fitness or provide
                 independent validation of results. Four fitness
                 functions based on the concept that the pleasingness of
                 an image is based on the ratio of image complexity to
                 processing complexity are explored. We introduce the
                 use of Shannon Entropy as a measure of image complexity
                 to compare with Jpeg Compression. Similarly, we
                 introduce Run Length Encoding to compare with Fractal
                 Compression as a measure of processing complexity. A
                 survey of 100 participants showed that it is possible
                 to generate aesthetically pleasing graphics using each
                 fitness function. Importantly, it was the introduction
                 of colour that separated the aesthetic effects of the
                 fitness measures.",
  DOI =          "doi:10.1109/CEC.2010.5586283",
  notes =        "Three 'separate' GP programs: one for each colour, per
                 image. RMIT-GP package. Web based trial with Likert
                 scale (1..5). Nice pictures. WCCI 2010. Also known as
                 \cite{5586283}",
}

Genetic Programming entries for Daniel L Atkins Roman Klapaukh Will N Browne Mengjie Zhang

Citations