Please note that eDoc will be permanently shut down in the first quarter of 2021!      Home News About Us Contact Contributors Disclaimer Privacy Policy Help FAQ

Quick Search
My eDoc
Session History
Support Wiki
Direct access to
document ID:

          Institute: MPI für biologische Kybernetik     Collection: Biologische Kybernetik     Display Documents

ID: 461739.0, MPI für biologische Kybernetik / Biologische Kybernetik
Categorizing art: Comparing humans and computers
Authors:Wallraven, C.; Fleming, R.; Cunningham, D.W.; Rigau, J.; Feixas, M.; Sbert, M.
Date of Publication (YYYY-MM-DD):2009-08
Title of Journal:Computers and Graphics
Issue / Number:4
Start Page:484
End Page:495
Audience:Not Specified
Intended Educational Use:No
Abstract / Description:The categorization of art (paintings, literature) into distinct styles such as Expressionism, or Surrealism has had a profound influence on how art is presented, marketed, analyzed, and historicized. Here, we present results from human and computational experiments with the goal of determining to which degree such categories can be explained by simple, low-level appearance information in the image. Following experimental methods from perceptual psychology on category formation, naive, non-expert participants were first asked to sort printouts of artworks from different art periods into categories. Converting these data into similarity data and running a multi-dimensional scaling (MDS) analysis, we found distinct categories which corresponded sometimes surprisingly well to canonical art periods. The result was cross-validated on two complementary sets of artworks for two different groups of participants showing the stability of art interpretation. The second focus of this paper was on determining how far computational algorithms would be able to capture human performance or would be able in general to separate different art categories. Using several state-of-the-art algorithms from computer vision, we found that whereas low-level appearance information can give some clues about category membership, human grouping strategies included also much higher-level concepts.
External Publication Status:published
Document Type:Article
Communicated by:Holger Fischer
Affiliations:MPI für biologische Kybernetik/Psychophysics (Dept. Bülthoff)
The scope and number of records on eDoc is subject to the collection policies defined by each institute - see "info" button in the collection browse view.