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

Taras Michael Kowaliw, Jon Paul McCormack, Alan Dorin

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    7 Citations (Scopus)


    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 recognize an artist's aesthetic style. We utilize 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 naïve human notions of similarity as well, suggesting the distance metric could serve as a content-based aesthetic recommender. © 2010 IEEE.

    Original languageEnglish
    Title of host publicationProceedings of the 2010 IEEE Congress on Evolutionary Computation (IEEE CEC 2010)
    EditorsPilar Sobrevilla, Gary Fogel, Hisao Ishibuchi
    Place of PublicationPiscataway NJ USA
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages2234 - 2241
    Number of pages8
    ISBN (Print)9781424469109
    Publication statusPublished - 2010
    EventIEEE Congress on Evolutionary Computation 2010 - Barcelona, Spain
    Duration: 18 Jul 201023 Jul 2010
    https://ieeexplore.ieee.org/xpl/conhome/5573635/proceeding (Proceedings)


    ConferenceIEEE Congress on Evolutionary Computation 2010
    Abbreviated titleIEEE CEC 2010
    Internet address

    Cite this