In this image description model, image contents could be analyzed and represented through different levels and the transition from low-level features to high-level semantics is thus achieved.
该图像描述模型通过在不同层次上对图像内容进行分析和描述，实现了从低级特征到高级语义的过渡。
In order to explain and calculate the image semantics, the feature vectors and the semantic partition are constructed in structure related.
从高级信息的角度来描述图像语义，建立图像语义的特征矢量空间和语义划分的结构关系，实现图像与语义值的结构表达。
In this paper, a novel system for content-based image retrieval is designed and created, which combines image semantics based on a multi-level model for image description.
该系统利用了一个多级图像描述模型将语义特征结合到图像检索技术中。
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