Towards Understanding Beautiful Things: A Computational Approach for the Study of Color Modulation in Visual Art

dc.contributor.authorAgahchen, Anissaen_US
dc.contributor.authorAlbu, Alexandra Branzanen_US
dc.contributor.editorEric Galin and Michael Wanden_US
dc.date.accessioned2014-12-16T07:11:09Z
dc.date.available2014-12-16T07:11:09Z
dc.date.issued2014en_US
dc.description.abstractThis paper is a guided attempt at analyzing the aesthetics of color from the perspective of color theory. Our guides are the works of Johannes Itten, one of the most influential theorists of color aesthetics. We focus on one specific aspect of color usage in visual art, namely color modulation. To this purpose, we introduce the color palette, a novel 3D visualization of the chromatic information of an image in the HSL space. Moreover, we propose a set of simple descriptors for evaluating color modulation. Our approach is demonstrated on two case studies, which show that our measures on modulation are consistent with Itten s color theory. Ongoing work involves a thorough experimental exploration of the proposed color palette and modulation descriptors, in terms of their ability to discriminate between different artists and painting styles.en_US
dc.description.seriesinformationEurographics 2014 - Short Papersen_US
dc.identifier.issn1017-4656en_US
dc.identifier.urihttps://doi.org/10.2312/egsh.20141005en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.7 [Computer Vision]en_US
dc.subjectFeature Measurement Feature Representationen_US
dc.titleTowards Understanding Beautiful Things: A Computational Approach for the Study of Color Modulation in Visual Arten_US
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