| 基于概率的复杂目标图像语义推理模型 |
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| 引用本文： | 黄宇, 付琨, 吴一戎, 詹芊芊. 基于概率的复杂目标图像语义推理模型[J]. 武汉大学学报 ( 信息科学版), 2009, 34(9): 1043-1046. |
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| 作者姓名： | 黄宇 付琨 吴一戎 詹芊芊 |
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| 作者单位： | 1中国科学院电子学研究所,北京市海淀区中关村北一条9号科电大厦,100190 |
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| 基金项目： | 国家自然科学基金资助项目(40871209)；国家863计划资助项目(2006AA12Z149) |
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| 摘 要： | 结合本体技术语义表达的优势和Bag Of Words模型的复杂目标图像建模的优势,将复杂目标本体中的本体概念作为随机变量引入到Bag Of Words模型中,提出了基于本体的复杂目标语义推理模型,建立了本体概念同图像的映射关系。通过本体概念在语义网中的推理,得到图像更深层次的语义推理结论,并通过实验验证了此模型的有效性。
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| 关 键 词： | SIFT描述子 本体概念 Bag Of Words模型 语义推理 |
| 收稿时间： | 2009-07-15 |
| 修稿时间： | 2009-07-15 |
Probability Model in Semantic Analysis of Complicated Target Image Based on Ontology |
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| HUANG Yu, FU Kun, WU Yirong, ZHAN Qianqian. Probability Model in Semantic Analysis of Complicated Target Image Based on Ontology[J]. Geomatics and Information Science of Wuhan University, 2009, 34(9): 1043-1046. |
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| Authors: | HUANG Yu FU Kun WU Yirong ZHAN Qianqian |
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| Affiliation: | 1 Electronic Institute of Chinese Academy Science,Kedian Building,9 Beiyitiao,Zhongguancun,Haidian District,Beijing 100190,China |
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| Abstract: | We integrate the advantage of semantic depiction using ontology and the advantage of complicated targets image modeling using Bag Of Words model,complicated targets semantic reasoning model is introduced using the ontology concept as a random variable in Bag Of Words model.This model can map the ontology concept to the image.Consequently,the semantic conclusion of the image is obtained by reasoning the mapped ontology concept in the semantic net.The experimental result shows that the model is validate. |
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