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图像语义标注方法及其语义鸿沟问题研究进展 被引量:4

Research Progress of Semantic Image Annotation Methods and Semantic Gap
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摘要 文章按照图像语义标注方法的发展阶段,对四种图像语义标注方法——基于文本的人工图像标注方法、自动图像标注(AIA)方法、结合相关文本的Web图像标注方法以及大众标注方法进行述评,指出现有图像语义标注方法均存在不同程度的语义鸿沟问题,分析语义鸿沟问题的产生根源,介绍解决语义鸿沟问题的有益尝试,并结合图像信息资源语义标注方法研究的发展脉络与学科特点,探讨其未来发展趋势。 In light of the developing process, four semantic image annotation methods text-based manual image annotation, automatic image annotation, Web image annotation with associated texts and folksonomy are reviewed in this paper. Then this paper points out that the existing semantic image annotation methods are faced with the problem of semantic gap, analyzes the root of semantic gap, and introduces beneficial attempts in solving this problem. Furthermore, with the analysis of development venation and discipline distribution of the research of semantic image annotation methods, this paper also discusses its future development trends.
出处 《图书馆学研究》 CSSCI 北大核心 2014年第10期2-6,共5页 Research on Library Science
基金 国家自然科学基金面上项目"图像信息资源可视化协同语义标注及实现研究"(项目编号:71273195) 武汉大学自主科研项目"我国建设‘以用户为中心的云计算’存在的障碍及对策研究"(项目编号:20110416)研究成果之一
关键词 图像语义标注 图像语义标注方法 语义鸿沟 semantic image annotation semantic image annotation methods semantic gap
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参考文献30

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