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Describing Images Using Qualitative Models and Description Logics

机译:使用定性模型和描述逻辑描述图像

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Our approach describes any digital image qualitatively by detecting regions/objects inside it and describing their visual characteristics (shape and colour) and their spatial characteristics (orientation and topology) by means of qualitative models. The description obtained is translated into a description logic (DL) based ontology, which gives a formal and explicit meaning to the qualitative tags representing the visual features of the objects in the image and the spatial relations between them. For any image, our approach obtains a set of individuals that are classified using a DL reasoner according to the descriptions of our ontology.
机译:我们的方法通过检测内部的区域/对象并通过定性模型描述其视觉特征(形状和颜色)及其空间特征(方向和拓扑)来定性地描述任何数字图像。将获得的描述转换为基于描述逻辑(DL)的本体,该本体为表示图像中对象的视觉特征以及它们之间的空间关系的定性标签提供了形式上的明确含义。对于任何图像,我们的方法都会获得一组根据我们的本体描述使用DL推理机进行分类的个人。

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