一种基于区域特征关联的图像语义标注方法  

Image semantic annotating method based on region features relevancy

作　　者：陈世亮[1] 李战怀[1] 袁柳[1] 

机构地区：[1]西北工业大学计算机科学与技术学院

出　　处：《计算机工程与应用》2007年第2期53-56,共4页Computer Engineering and Applications

基　　金：国家自然科学基金资助项目(60373108)。

摘　　要：图像语义的标注需要解决图像高层语义和底层特征间存在的语义鸿沟。采用基于图像分割、并结合图像区域特征抽取的方法,建立图像区域语义与底层特征间的关联,采用基于距离的分类算法,计算区域特征间的相似性,并对具有相同或相近特征的区域的语义采用关联关键字的方法进行区分,用关键字实现图像语义的自动标注。The semantic gap between image semantic and visual features will be solved in image annotation.Through the image segmenting and visual content extracting of regions,the relationships between image semantic of regions and visual features are established.The classification algorithm based on distance is used to measure the distance between regions,co-occurrence keywords are adopted to discriminate regions,which have identical or similar features,then the image semantics is annotated by keywords automatically.

关 键 词：图像标注 区域语义 关联关键字 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]