A Color-Pair Based Approach for Accurate Color Harmony Estimation

dc.contributor.authorYang, Bailinen_US
dc.contributor.authorWei, Tianxiangen_US
dc.contributor.authorFang, Xianyongen_US
dc.contributor.authorDeng, Zhigangen_US
dc.contributor.authorLi, Frederick W. B.en_US
dc.contributor.authorLing, Yunen_US
dc.contributor.authorWang, Xunen_US
dc.contributor.editorLee, Jehee and Theobalt, Christian and Wetzstein, Gordonen_US
dc.date.accessioned2019-10-14T05:08:59Z
dc.date.available2019-10-14T05:08:59Z
dc.date.issued2019
dc.description.abstractHarmonious color combinations can stimulate positive user emotional responses. However, a widely open research question is: how can we establish a robust and accurate color harmony measure for the public and professional designers to identify the harmony level of a color theme or color set. Building upon the key discovery that color pairs play an important role in harmony estimation, in this paper we present a novel color-pair based estimation model to accurately measure the color harmony. It first takes a two-layer maximum likelihood estimation (MLE) based method to compute an initial prediction of color harmony by statistically modeling the pair-wise color preferences from existing datasets. Then, the initial scores are refined through a back-propagation neural network (BPNN) with a variety of color features extracted in different color spaces, so that an accurate harmony estimation can be obtained at the end. Our extensive experiments, including performance comparisons of harmony estimation applications, show the advantages of our method in comparison with the state of the art methods.en_US
dc.description.number7
dc.description.sectionheadersImages and Learning
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume38
dc.identifier.doi10.1111/cgf.13854
dc.identifier.issn1467-8659
dc.identifier.pages481-490
dc.identifier.urihttps://doi.org/10.1111/cgf.13854
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13854
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectPerception
dc.titleA Color-Pair Based Approach for Accurate Color Harmony Estimationen_US
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