Research on an Arithmetic of Image Dimensionality Reduction for Web Environment
一种适合Web图像检索的图像降维算法研究

In this paper, the authors survey recent research of Web image retrieval, analyze and present the important effect of image dimensionality reduction on content-based Web image retrieval. After introducing several classical methods of image dimensionality reduction, the paper gives a detailed introduction on the arithmetic of image dimensionality reduction that based on Laplacian Eigenmap. Due to the characteristic that image retrieval needs drastically dimensionality reduction in Web environment, we performed several experiments to evaluate the effectiveness between the arithmetic that based on LE and the PCA arithmetic that based on KL transform. Experimental results show that the arith- metic hat based on LE give excellent performance for image retrieval in Web environment.