机构地区: 西北工业大学自动化学院
出 处: 《计算机工程》 2005年第1期172-173,178,共3页
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。 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.
领 域: [自动化与计算机技术] [自动化与计算机技术]