| 基于叙词查询的图像标注方法 |
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| 引用本文： | 虎晓红,李炳军,苏晓珂.基于叙词查询的图像标注方法[J].郑州大学学报(理学版),2011,43(2). |
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| 作者姓名： | 虎晓红 李炳军 苏晓珂 |
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| 作者单位： | 1. 河南农业大学,信息与管理科学学院,河南,郑州,450002;河南农业大学,经济与管理科学学院,河南,郑州,450002
2. 郑州轻工业学院,计算机与通信工程学院,河南,郑州,450002 |
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| 基金项目： | 河南省教育厅自然科学基础研究计划资助项目,编号2010A520033 |
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| 摘 要： | 为了能更好地反映图像标注之间的关系,将叙词查询的概念引人到传统的基于查询的图像标注领域,通过已标注图像的关键词建立标注之间的关系,从而构建了基于叙词查询的图像自动标注方法.最后在Corel图像数据库中对所提出方法的有效性进行了验证.
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| 关 键 词： | 图像标注 叙词查询 参考标注 |
Image Annotation Approach Based on Thesaurus Retrieval |
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| HU Xiao-hong
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LI Bing-jun
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SU Xiao-ke.Image Annotation Approach Based on Thesaurus Retrieval[J].Journal of Zhengzhou University:Natural Science Edition,2011,43(2). |
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| Authors: | HU Xiao-hong LI Bing-jun SU Xiao-ke |
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| Institution: | HU Xiao-hong1,2,LI Bing-jun1,SU Xiao-ke3(1.College of Information and Management Science,Henan Agricultural University,Zhengzhou 450002,China,2.College of Economics and Management Science,3.School of Computer and Communication Engineering,Zhengzhou University of Light Industry,China) |
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| Abstract: | To represent the correlation among Keywords precisely,thesaurus retrieval in image annotation domain was embeded.Thesaurus retrieval and the semantic correlation among images were combined in the traditional image annotation framework and a novel image annotation approach based on thesaurus retrieval was built.Experimental results showed that the performance of the classification was greatly improved on Corel datasets. |
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| Keywords: | image annotation thesaurus retrieval candidate annotation |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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