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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.-In content2based image retrieval, annotations of image can not only reduce the gap between high2
grade semantics and low2grade visual content, but is also convenient for retrieval. Aswe all know, manual2annota2
tion is time2consuming, strength2consuming, and the annotation resultsmay be subjectively different, while the au2
tomatic image annotation can transform the visual features into annotations. This benefits users a lot. In this paper,
we p ropose an instance2based method for automatic image annotation
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.-In content2based image retrieval, annotations of image can not only reduce the gap between high2
grade semantics and low2grade visual content, but is also convenient for retrieval. Aswe all know, manual2annota2
tion is time2consuming, strength2consuming, and the annotation resultsmay be subjectively different, while the au2
tomatic image annotation can transform the visual features into annotations. This benefits users a lot. In this paper,
we p ropose an instance2based method for automatic image annotation
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一种基于实例的图像自动语义标注方法.pdf
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