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Guessing Art Styles using Qualitative Colour Descriptors, SVMs and Logics

机译:使用定性颜色描述符,SVM和逻辑猜测艺术风格

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An approach for style painting categorization based on their Qualitative Colour Descriptors (QCD) and their similarity (SimQCD) is presented in this paper. For learning the colour features of paintings from Baroque, Impressionism and Post-Impressionism styles, two classifiers are built based on k-Nearest Neighbour (k-NN) and support vector machine (SVM) methods. The results showed accuracies of categorization higher than 75%. Colour logics in art styles are identified from the literature in order to improve and explain the categorization obtained.
机译:本文提出了一种基于定性颜色描述符(QCD)的风格绘画分类方法及其相似性(SIMQCD)。为了从巴洛克式,印象派和印象中绘画的绘画的颜色特征,两个分类器是基于k最近邻(k-nn)的构建,并支持向量机(SVM)方法。结果表明,分类的准确性高于75%。艺术风格中的彩色逻辑从文献中识别,以改进和解释所获得的分类。

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