针对图像检索中的语义鸿沟问题,提出了一种新颖的自动图像标注方法。
A novel automatic image annotation approach is proposed to bridge the semantic gap of content-based image retrieval.
再针对具体的自动标注过程,建立了基于高斯混合模型的自动图像标注模型。
And then, taking into account the specific process of automatic image annotation, we built the automatic image annotation model based on Gaussian mixture model.
通过在通用图像集上的实验结果表明,本文提出的自动图像标注方法是有效的。
Experiments conducted on standard dataset demonstrate the effectiveness and efficiency of the proposed approach for image annotation.
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