为国画图像语义分类的实现奠定了基础。
That lays the foundation for the achievement of TCP images semantic classification.
图像语义分类是基于语义的图像检索研究领域中一个重要且有挑战性的课题。
Image semantic classification is an important and challenging task in the field of semantic-based image retrieval.
接着，本文提出了一种基于特征互补率矩阵的图像分类方法，试图从两个角度减小语义鸿沟。
Then, we propose an image classification method based on feature complement ratio matrix, which tries to bridge the semantic gap from two aspects.
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