摘要
当前基于内容的图像检索主要采用底层特征检索技术,如颜色、形状和空间分析。然而无法表达图像的高层语义信息,造成了检索结果的不精确。结合低层特征,提出一种基于关键字语义网络的图像检索方法。通过语义网络的不断完善,检索的精确度也将随之提高。
The current situation of the content -based image retrieval is using lower- feature -based retrieval technology, such as color, shape and spatial analysis. However, it cannot express the higher semantic information of a picture, causing the imprecise retrieval result. Combining with lower features, a method based on a keyword semantic network is brought out. Along with the evolution of the network, the retrieval result will become more precise.
出处
《微处理机》
2008年第3期81-84,共4页
Microprocessors
关键词
基于内容
底层特征
高层语义
语义网络
Content - based
Lower features
Higher semantic information
Semantic network
