信息资源管理学报 ›› 2021, Vol. 11 ›› Issue (2): 128-136.doi: 10.13365/j.jirm.2021.02.128

• 研究论文 • 上一篇    

面向非物质文化遗产的图像语义描述研究

王若宸 朱学芳   

  1. 南京大学信息管理学院,南京,210023
  • 出版日期:2021-03-26 发布日期:2021-05-21
  • 作者简介:王若宸,硕士生,研究方向为多媒体信息资源管理;朱学芳,教授,博导,博士,研究方向:数字信息资源管理及服务、多媒体信息处理、信息可视化、数字人文、模式识别与人工智能等研究。

Research on Image Semantic Description for Intangible Cultural Heritage

Wang Ruochen Zhu Xuefang   

  1. School of InformationManagement, Nanjing University, Nanjing ,210023
  • Online:2021-03-26 Published:2021-05-21

摘要: 图像资源在非物质文化遗产的保护工作中扮演着重要角色。针对现有非遗图像资源在呈现和组织中存在的问题,基于已有的成熟理论和方法体系,提出一种专门面向非遗图像语义信息的描述方法。基于Panofsky和Shatford的图像学理论模型构建专门面向非遗数字图像的语义描述框架,针对该框架设计一个完整的图像上下文关键词提取流程,并对该流程进行相应的实验操作和有效性实证研究。实验成功从样本数据中提取出语义关键词信息,表明本文的方法在总体上优于现有的著录体系,能带来更高的精准度和召回率。

关键词: 非物质文化遗产, 图像语义描述, 关键词提取, 图像标注, 图像元数据, 图像内容描述

Abstract: Image resources play an important part in the protection of Intangible Cultural Heritage (ICH). Aiming at the problems existing in the presentation and organization of ICH image resources, this paper proposes a method for describing semantic information of ICH images based on the existing mature theories and techniques. This paper constructs a semantic description framework for ICH images based on Panofsky and Shatford’s image theories. A complete image context keyword extraction process is designed for the framework, and corresponding experimental operations and empirical research of effectiveness are carried out.The experiment successfully extracts semantic keyword information from the sample data, and demonstrates that the method in this paper is better than the existing bibliographic system in general, with higher precision and recall rate.

Key words: Intangible Cultural Heritage, Image semantic description, Keyword extraction, Image annotation, Image metadata, Image content description

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