Show simple item record

dc.contributor.authorKita, Naokien_US
dc.contributor.authorMiyata, Kazunorien_US
dc.contributor.editorEitan Grinspun and Bernd Bickel and Yoshinori Dobashien_US
dc.date.accessioned2016-10-11T05:18:59Z
dc.date.available2016-10-11T05:18:59Z
dc.date.issued2016
dc.identifier.issn1467-8659
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.13010
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13010
dc.description.abstractA model to rate color combinations that considers human aesthetic preferences is proposed. The proposed method does not assume that a color palette has a specific number of colors, i.e., input is not restricted to a two-, three-, or five-color palettes. We extract features from a color palette whose size does not depend on the number of colors in the palette. The proposed rating prediction model is trained using a human color preference dataset. The model allows a user to extend a color palette, e.g., from three colors to five or seven colors, while retaining color harmony. In addition, we present a color search scheme for a given palette and a customized version of the proposed model for a specific color tone. We demonstrate that the proposed model can also be applied to various palette-based applications.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.0 [Computer Graphics]
dc.subjectGeneral
dc.titleAesthetic Rating and Color Suggestion for Color Palettesen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersVisualization/NPR
dc.description.volume35
dc.description.number7
dc.identifier.doi10.1111/cgf.13010
dc.identifier.pages127-136


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record