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.
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.
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.
Citation: 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.

基于概率的复杂目标图像语义推理模型

Probability Model in Semantic Analysis of Complicated Target Image Based on Ontology

  • 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。

     

    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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