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一种结合语义特征和视觉特征的图像检索方法
引用本文:杨树极.一种结合语义特征和视觉特征的图像检索方法[J].电脑开发与应用,2011,24(2):19-21.
作者姓名:杨树极
作者单位:中北大学电子与计算机科学技术学院;
摘    要:为了解决传统的CBIR系统中存在的"语义鸿沟"问题,提出一种结合语义特征和视觉特征的图像检索方法.将图像的语义特征和视觉特征数据结合到同一个索引向量中,进行基于内容的图像检索.系统使用潜在语义索引(LSI)技术提取图像的语义特征,提取颜色直方图作为图像的视觉特征.通过将图像底层视觉特征与图像在向量空间中的语义统计特征相...

关 键 词:基于内容  图像检索  图像语义  潜在语义索引

An Image Retrieval Approach based on the Combination of Semantic and Visual Features
Yang Shuji.An Image Retrieval Approach based on the Combination of Semantic and Visual Features[J].Computer Development & Applications,2011,24(2):19-21.
Authors:Yang Shuji
Abstract:To solve the problem of semantic gap in the traditional CBIR system between content-based system and concept-based user,an image retrieval approach is proposed that combines textual and visual statistics in a single index vector for content-based search.Textual statistics are captured in vector form using latent semantic indexing(LSI).Visual statistics are captured in vector form using color histogram.An approach is proposed that allows the combination of visual statistics with textual statistics in the vec...
Keywords:content-based  image retrieval  image semantics  latent semantic indexing  
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