哈尔滨理工大学计算机科学与技术学院
Published:2009
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JI Ying. An Instance-based Method for Automatic Image Semantics Annotation[J]. 2009, 14(1): 38-42.
DOI:
JI Ying. An Instance-based Method for Automatic Image Semantics Annotation[J]. 2009, 14(1): 38-42. DOI:
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 high-grade 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...
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