Image Classification Method Based on Visual Saliency and Bag of Words Model

被引：4

作者：

Liu Zhi-jie ^{[1
]}

机构：

[1] ShanDong Polytech, Dept Informat Engn, Jinan 250104, Peoples R China

来源：

PROCEEDINGS OF 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA 2015) | 2015年

关键词：

Bag of words model; visual saliency; image classification;

D O I：

10.1109/ICICTA.2015.122

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Based on traditional bag of words model and combined with the features of human visual, an improved image classification method is proposed in this paper. Firstly, compute the visual saliency of image. Secondly, according to the image visual saliency, we compute the histogram of visual words of image, and then use the histogram of visual words to represent the image. The validity of this method are carried out on Caltech 101 database. The experiment results show that the improved method performs better than other traditional method.

引用

页码：466 / 469

页数：4

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