[目的/意义] 针对本文作者为了对敦煌壁画图像蕴含的信息进行语义描述、揭示与标注而提出的层次性图像语义描述框架(SDFDI),采用内容分析法验证其合理性。[方法/过程] 以中国知网、维普数据库和万方数据库中的237篇敦煌壁画图像研究文献为样本,借助人工编码,统计非语义A类信息、基本语义B类和C类信息、复杂语义D类信息的分布情况以及其与SDFDI框架的匹配率。[结果/结论] 统计结果显示,在敦煌壁画研究文献中,这4类信息呈现正态分布,匹配率也说明SDFDI框架可以作为图像深度语义标注的参照基准。
[Purpose/significance] In order to describe and annotatethe deep semantic information contained in Dunhuangfresco digital images,we have proposed a semantic description framework(SDFDI) in previous research. An experiential research is implemented for validating the rationality of SDFDI in this paper. [Method/process] 237 literatures related to Dunhuang fresco image research are retrieved and filtered from CNKI, VIP database and Wanfang database as samples for content analysis. With the aid of artificial coding, we collected the distribution of four types of information:non-semantic information(Type A), basic semantic information(TypeB and Type C),complex semantic information(Type D). And we also calculated the matching rate of SDFDI. [Result/conclusion] According to the statistical results in the literatures of Dunhuang fresco research, these four types of information follow a normal distribution, and the matching rate also proves that SDFDIcan be used as a reference for deep image semantic annotations.
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