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The purpose of this paper is to research the image semantic auto-annotation method, which proposes an image semantic annotation method adopted ontology description and the image regional objects reasoning. First, the image semantic regional description model was build, and then the similar features of the region to achieve the similar semantics were annotated. Second, the algorithm focuses on the...
The image semantic classification is new focus in the image classification field, the traditional classification algorithm is based on the low level visual features, but there is an enormous semantic gap problem between the low-level visual features and high-level semantic information of images. An image semantic classification approach is proposed based on Kernel PCA Support Vector Machines (KPCA...
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