Evolutionary automated recognition and characterization of an individual's artistic style
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gp-bibliography.bib Revision:1.8081
- @InProceedings{Kowaliw:2010:cec,
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author = "Taras Kowaliw and Jon McCormack and Alan Dorin",
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title = "Evolutionary automated recognition and
characterization of an individual's artistic style",
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booktitle = "IEEE Congress on Evolutionary Computation (CEC 2010)",
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year = "2010",
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address = "Barcelona, Spain",
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month = "18-23 " # jul,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-1-4244-6910-9",
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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.",
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DOI = "doi:10.1109/CEC.2010.5585975",
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notes = "WCCI 2010. Also known as \cite{5585975}",
- }
Genetic Programming entries for
Taras Kowaliw
Jon McCormack
Alan Dorin
Citations