Evolutionary automated recognition and characterization of an individual's artistic style

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Taras Kowaliw and Jon McCormack and Alan Dorin",
  title =        "Evolutionary automated recognition and
                 characterization of an individual's artistic style",
  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 =     "In this paper, we introduce a new image database,
                 consisting of examples of artists' work. Successful
                 classification of this database suggests the capacity
                 to automatically recognise an artist's aesthetic style.
                 We use the notion of Transform-based Evolvable Features
                 as a means of evolving features on the space, these
                 features are then evaluated through a standard
                 classifier. We obtain recognition rates for our six
                 artistic styles -relative to images by the other
                 artists and images randomly downloaded from a search
                 engine -of a mean true positive rate of 0.946 and a
                 mean false positive rate of 0.017. Distance metrics
                 designed to indicate the similarity between an
                 arbitrary greyscale image and one of the artistic
                 styles are created from the evolved features. These
                 metrics are capable of ranking control images so that
                 artist-drawn instances appear at the front of the list.
                 We provide evidence that other images ranked as similar
                 by the metric correspond to naive human notions of
                 similarity as well, suggesting the distance metric
                 could serve as a content-based aesthetic recommender.",
  DOI =          "doi:10.1109/CEC.2010.5585975",
  notes =        "WCCI 2010. Also known as \cite{5585975}",

Genetic Programming entries for Taras Kowaliw Jon McCormack Alan Dorin