摘要
在基于内容的图像检索中,图像的标注字能够缩小图像的高级语义和低级视觉内容之间的差距,并方便检索.但手工标注费时费力且结果具有主观不一致性,而图像的自动语义标注能够将图像的视觉特征转化为图像的标注字信息,为用户的使用带来了极大的方便.本文提出了一种基于实例的图像自动语义标注方法.该方法的优点是可以根据以往的标注经验自动确定图像标注信息,克服了手工标注的缺点,也可以方便地扩展为半自动标注,为标注者提供了一个简单方便的标注接口.
In content-based image retrieval, annotations of image can not only reduce the gap between highgrade semantics and low-grade visual content, but is also convenient for retrieval. As we all know, manual-annotation is time-consuming, strength-consuming, and the annotation results may be subjectively different, while the automatic image annotation can transform the visual features into annotations. This benefits users a lot. In this paper, we propose an instance-based method for automatic image annotation. The advantage of this method is that it can determine the image annotation according to previous annotation experiences, which overcomes the shortcomings of manual-annotation. Moreover, the method can be extended to semi-automatic annotation, which provides users with a simple and convenient interface for annotation.
出处
《哈尔滨理工大学学报》
CAS
北大核心
2009年第1期38-42,共5页
Journal of Harbin University of Science and Technology
关键词
图像检索
视觉特征
语义
自动标注
image retrieval
visual feature
semantics
automatic annotation
