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Semantic Reasoning Method for the Target Image Based on Probability Model

机译:基于概率模型的目标图像语义推理方法

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We integrate the advantage of semantic depiction using ontology and the advantage of complicated targets image modelling 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.
机译:我们结合了使用本体的语义描述的优势和使用Word of Bag模型的复杂目标图像建模的优势,使用本体概念作为Word Bag的随机变量引入了复杂目标语义推理模型。该模型可以将本体概念映射到图像。因此,通过在语义网中推理映射的本体概念来获得图像的语义结论。实验结果表明该模型是有效的。

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