PCA-based representation of color distributions for color-based image retrieval
PCA-based representation of color distributions for color-based image retrieval
复制标题
基于 PCA 的颜色分布表示，用于基于颜色的图像检索
DOI：
10.1109/icip.2001.958589
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发表时间：
2001
期刊：
影响因子：
--
通讯作者：
R. Lenz
中科院分区：
文献类型：
--
作者：
L. Tran;R. Lenz
在许多基于颜色的图像检索系统中，图像的颜色属性由图像中颜色的直方图来描述。颜色直方图对小的对象失真不敏感，并且易于计算。然而，基于直方图的搜索对于表示颜色分布所需的大直方图尺寸来说通常是低效的。因此，我们介绍了几个新的，PCA为基础的方法，提供有效的表示颜色直方图和两个颜色直方图之间的差异。我们还研究了由二次形式定义的直方图空间中的距离测量，并考虑到底层颜色空间的几何结构。我们表明，基于二次型的距离测度和压缩的直方图信息，基于PCA近似的差异的组合提供了新的强大和有效的检索算法，基于颜色的图像检索。
In many color based image retrieval systems the color properties of an image are described by the histogram of the colors in the image. Color histograms are insensitive to small object distortions and easy to compute. Histogram based searches are however often inefficient for the large histogram sizes needed to represent color distributions. Therefore we introduce several new, PCA-based methods that provide efficient representations of color histograms and differences between two color histograms. We also investigate distance measures in the space of histograms which are defined by quadratic forms and which take into account the geometric structure of the underlying color space. We show that the combination of the quadratic forms based distance measure and the compression of the histogram information by difference based PCA-approximations provide new powerful and efficient retrieval algorithms for color based image retrieval.