摘要： 提出了一种在获取图像低层视觉特征(颜色)的基础上,利用语义网络对图像进行语义自动分类,从而建立起低层视觉特征和高层语义特征之间的联系的算法。最后,为了提高检索效率,引进相关反馈技术,实验证明这种方法是行之有效的。

关键词: 主颜色, 语义网络, 图像语义, 相关反馈

Abstract: This paper presents results of a project that seeks to transform the low level features to high level of meaning. It extracts the low level features called as the representative colors from the images, and presents a new approach called word net to establish the link from the low- level feature vectors to the semantics. In order to improve the retrieval efficiency, the relevance feedback is also applied into the system. Experiments show the method is promising.

中图分类号: 

• TP391.3