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Two Levels Similarity Modelling: a Novel Content Based Image Clustering Concept

机译:两级相似性建模:基于内容的新型图像聚类概念

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摘要

In this work, we applied a co-clustering concept in content based image recognition field. In this aim, we introduced a two levels similarity modelling (TLSM) concept. This approach is based on a new images similarity formulation using obtained co-clusters. The obtained results show a real improvement of image recognition accuracy in comparison with obtained accuracy obtained using one of classical co-clustering systems.
机译:在这项工作中,我们将共聚概念应用于基于内容的图像识别领域。为此,我们引入了两级相似性建模(TLSM)概念。该方法基于使用获得的共聚簇的新图像相似性公式。与使用经典共聚系统之一获得的精度相比,获得的结果显示了图像识别精度的真正提高。

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