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Automatic Extraction and Registration of Physical Feature Vectors for Digital Traditional Crafting Database

机译:数字传统工艺数据库物理特征矢量的自动提取和注册

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In this paper, we propose a Kansei retrieval method based on the design pattern of traditional Japanese crafting object to provide a user with the desired presentation space in digital traditional Japanese crafting system. The visual quantitative feature values are extracted by using visual pattern image coding (VPIC). These values include the total number, the frequency, the dispersion rate and the deviation rate for different edges. The quantitative feature values for traditional Japanese crafting objects are registered in the multimedia database and the relation between Kansei words and the visual feature of traditional Japanese crafting objects are analyzed by using the questionnaire. Then, the visual features are compared with the quantitative feature values. Through the above process, we can find the relation between the design pattern components and edge types using VPIC. By finding this relation, the Kansei retrieval method can be realized
机译:在本文中,我们提出了一种基于日本传统工艺对象的设计模式的关西检索方法,旨在为用户提供数字传统日本工艺系统中所需的呈现空间。通过使用视觉图案图像编码(VPIC)提取视觉定量特征值。这些值包括总数,频率,不同边缘的色散率和偏差率。将日本传统手工艺品的定量特征值注册到多媒体数据库中,并使用调查表分析关西单词与日本传统手工艺品的视觉特征之间的关系。然后,将视觉特征与定量特征值进行比较。通过以上过程,我们可以使用VPIC找到设计图案成分与边缘类型之间的关系。通过发现这种关系,可以实现关西检索方法

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