数字人文研究 ›› 2021, Vol. 1 ›› Issue (3): 51-62.

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京剧脸谱图像的增强标注与交互呈现

  

  1. 中国人民大学信息资源管理学院
  • 出版日期:2021-09-08 发布日期:2021-12-04

Enhanced Annotation and Interactive Rendering of Beijing Opera Facial images#br#

  • Online:2021-09-08 Published:2021-12-04

摘要: 数字资源的呈现形式会很大程度上影响数字资源构建的效果。为更好地保护、传承与发展京剧脸谱,基于京剧脸谱图像数字资源特点进行研究,分别从微观与宏观的元素视角出发,使用人工标注、专家判别和机器学习等手段对京剧脸谱图像的图案、纹饰、色彩、谱式、性格等元素进行提取,根据不同元素所对应的数字资源选择不同的呈现形式,实现了京剧脸谱图像数字资源的多样化呈现,并利用“北京记忆-京剧脸谱”网站进行数字资源呈现设计的实践尝试。

关键词: 京剧脸谱图像, 数字资源呈现, 元数据, 交互呈现

Abstract: The presentation form of digital resources will greatly affect the effect of digital resource construction. In order to better protect, inherit and develop Beijing Opera Facial, the paper studied the characteristics of Beijing Opera Facial images digital resources, and extracts the pattern, decoration, color, spectrum, character and other elements of Beijing Opera Facial images by means of manual annotation, expert discrimination and machine learning from the micro and macro element perspectives. Design different presentation forms of digital resources corresponding to different elements, realize the diversified presentation of Beijing Opera Facial images digital resources, and use the "Beijing memory - Beijing Opera Facial" website to make a practical attempt of digital resource presentation design.

Key words: Beijing Opera Facial images, represetation of digital resources, Metadata, interactive rendering

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