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图像语义标注中的叙词查询方法*
引用本文:虎晓红,钱旭,王晓磊. 图像语义标注中的叙词查询方法*[J]. 计算机应用研究, 2011, 28(8): 3174-3177. DOI: 10.3969/j.issn.1001-3695.2011.08.104
作者姓名:虎晓红  钱旭  王晓磊
作者单位:1. 河南农业大学信管学院,郑州,450002
2. 中国矿业大学机电与信息工程学院,北京,100083
基金项目:国家教育部科研重点资助项目(107021)
摘    要:为了在图像语义标注领域能更好地反映标注之间的关系,通过对已标注图像的标注进行分析来建立标注之间的关系,并在此基础上将叙词查询的概念引入到图像语义标注中并提出了基于叙词查询的图像语义标注方法,把语义标注问题统一在叙词查询与图像的语义关系相结合在统一的框架下,最后通过在Corel图像数据库中的验证表明,所提出的方法是有效的并且标注率得到了明显的提高。

关 键 词:语义标注;叙词查询;图像检索

Thesaurus retrieval approach in semantic image annotation
HU Xiao-hong,QIAN Xu,WANG Xiao-lei. Thesaurus retrieval approach in semantic image annotation[J]. Application Research of Computers, 2011, 28(8): 3174-3177. DOI: 10.3969/j.issn.1001-3695.2011.08.104
Authors:HU Xiao-hong  QIAN Xu  WANG Xiao-lei
Affiliation:HU Xiao-hong1,QIAN Xu2,WANG Xiao-lei1(1.School of Information & Management Science,Henan Agricultural University,Zhengzhou 450002,China,2.School of Mechanical Electro-nic & Information Engineering,China University of Mining & Technology,Beijing 100083,China)
Abstract:To better represent the correlation among keywords in image annotation domain, in this paper we analyzed the annotated images and build the correlation of keywords. Furthermore, studied the traditional image annotation framework and presented a novel image annotation framework based on thesaurus retrieval, which uses the visual features to retrieve the related images from image database, the correlation among keywords was then embedded in the proposed image annotation framework, it is the first time to introduce thesaurus retrieval in image annotation domain, experimental results show that the performance of the annotation is greatly improved on Corel datasets.
Keywords:semantic annotation   thesaurus retrieval   image retrieval
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