Premium
Three types of affect tags for art images
Author(s) -
Lopatovska Irene
Publication year - 2016
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.2016.14505301039
Subject(s) - affect (linguistics) , subject matter , computer science , artificial intelligence , image (mathematics) , psychology , communication , pedagogy , curriculum
Art images are characterized by affective properties that are rarely captured by current classification practices. We conducted a study to test three methods for developing affect descriptors for art images. The first method relied on affect tags derived from analysis of an image's subject matter and colors. The second method involved affect tags derived from analysis of a viewer's facial expressions of emotions associated with each image. The third method relied on affect tags assigned to an image by viewers. The strengths, limitations, and potential of each affect tagging method for art images are discussed.