Digital Humanities Research ›› 2021, Vol. 1 ›› Issue (3): 51-62.

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

  

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

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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