Percentile blobs for image similarity

被引：9

作者：

Howe, NR ^{[1
]}

机构：

[1] Cornell Univ, Dept Comp Sci, Ithaca, NY 14853 USA

来源：

IEEE WORKSHOP ON CONTENT-BASED ACCESS OF IMAGE AND VIDEO LIBRARIES - PROCEEDINGS | 1998年

关键词：

D O I：

10.1109/IVL.1998.694503

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a nerv algorithm called PBSIM for computing image similarity: based upon a novel method of extracting bloblike features from images. In tears on a classification task using a data set of over 1000 images, PBSIM shows significantly higher accuracy than algorithms based report color histograms, as well as previously reported results for another approach based upon bloblike features.

引用

页码：78 / 83

页数：6