摘要
针对现有的图像自动标注算法对唐卡图像的自动标注和语义描述能力有限的缺点,提出了一种基于领域知识本体的唐卡图像语义标注方法。首先,构建了唐卡图像标注框架体系,然后,在前期唐卡图像中目标对象识别和分类的基础上,结合唐卡领域知识本体,对圣像类唐卡图像进行了两个层面的标注,即局部区域自动标注和基于本体的全局标注。实验结果表明,该标注方法对唐卡图像十分有效。
The existing image automatic annotation algorithm has very limited ability of automatic annotation and semantic description of Thangka image. This paper proposes a semantic annotation method of Thangka image based on domain knowledge ontology. First,the system of Thangka image annotation framework was constructed. Then in the early study of the Thangka image target recognition and classification,on the basis of combining Thangka domain knowledge ontology,two levels of Thangka image annotation were realized,which were local region automatic annotation and ontology-based global annotation. Experimental results prove that the proposed method is effective for Thangka image semantic annotation.
作者
王铁君
王维兰
WANG Tie-jun;WANG Wei-lan(Key Laboratory of China's Ethnic Languages and Information Technology of Ministry of Education,Northwest Minzu University,Lanzhou 730030,China;School of Mathematics and Computer Science,Northwest Minzu University,Lanzhou 730030,China)
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2020年第1期289-296,共8页
Journal of Jilin University:Engineering and Technology Edition
基金
国家自然科学基金项目(60875006,61162021)
中央高校基本科研业务费专项项目(31920170146).
关键词
计算机应用
唐卡图像
图像标注
领域本体
computer application
Thangka image
image annotation
domain ontology
作者简介
王铁君(1981-),女,副教授,博士.研究方向:模式识别,图像处理,信息检索.E-mail:wtj@mail.lzjtu.cn;通信作者:王维兰(1961-),女,教授,博士生导师.研究方向:图像处理,模式识别,计算机视觉,藏文信息处理.E-mail:wangweilan@xbmu.edu.cn
