semantics in image 图像语义
In order to slove the problems of self-learning and understanding, computer vision should be constructed on high knowledge molds. The paper presents a method which using the knowledge of image semantics and theory.
针对计算机视觉图像语义的问题,本文提出了基于知识结构与方法的图像语义模型理论和方法。
参考来源 - 计算机视觉图像语义模型的描述方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The research of image semantics is a new field.
图像语义是研究图像模式识别与图像检索的一个新理论。
The experimental results showed that the two methods have better performance on image semantics extraction.
实验结果表明，这两种方法对图像有较好的语义提取效果。
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。
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