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Latent Style Model: Discovering Writing Styles For Calligraphy Works

机译:潜在风格模型:发现书法作品的写作风格

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摘要

Chinese calligraphy works is a valuable part of the Chinese culture heritage. More and more calligraphy works images are digitized, preserved and exhibited in digital library. Users always want to appreciate the style-similar works simultaneously. To satisfy their need, calligraphic style representation and browsing calligraphy works by its style are the most important problems to be addressed. This paper proposes calligraphic style representation which is a multinomial probability distribution over visual words, and Latent Style Model to discover the style of calligraphy works and organize the works by style. In our experiments, we evaluated various factors that influence the model, and proved the effectiveness of the style representation and the model. At last, we illustrate the Calligraphic Style Browser to organize and exhibit the resource according to the styles.
机译:中国书法作品是中华文化遗产的宝贵组成部分。越来越多的书法作品图像被数字化,保存并在数字图书馆中展出。用户始终希望同时欣赏与样式相似的作品。为了满足他们的需求,书法风格的表示和浏览其风格的书法作品是需要解决的最重要的问题。本文提出了一种视觉风格上的多项式概率分布的书法风格表示法,以及潜在风格模型,以发现书法作品的风格并按风格组织作品。在我们的实验中,我们评估了影响模型的各种因素,并证明了样式表示和模型的有效性。最后,我们说明了“书法样式浏览器”,用于根据样式组织和展示资源。

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