Color Harmony for Image Indexing
2009 (English)In: 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, IEEE , 2009, 1885-1892 p.Conference paper (Refereed)
A predictive model for estimating the perceived harmony of ordinary multi-colored images is proposed and evaluated. The model is based on earlier research concerning two-color harmonies. Color regions of images are extracted using mean shift segmentation. Global and local harmony scores are derived for two-color combinations included in different subsets of all segmented regions. Statistical measurements of the obtained harmony scores are used for predicting the perceived overall harmony. The model is validated in a psychophysical experiment, where human observers are judging images on a harmony scale. The findings show that humans do perceive harmony in multi-colored images in similar ways, and that the proposed model results in useful predictions of harmony. The model can be applied in automatic labeling or classification of images.
Place, publisher, year, edition, pages
IEEE , 2009. 1885-1892 p.
color harmony, image indexing, psychophysics
Computer Vision and Robotics (Autonomous Systems) Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-21923DOI: 10.1109/ICCVW.2009.5457512ISBN: 978-1-4244-4441-0 (online)ISBN: 978-1-4244-4442-7 (print)OAI: oai:DiVA.org:liu-21923DiVA: diva2:242044
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009; Kyoto; Japan
ProjectsVisuella Världar, The Knowledge Foundation, Sweden