Image Semantic Classification Using SVM In Image Retrieval

被引：0

作者：

Yu, Xiaohong ^{[1
]}

Liu, Hong ^{[1
]}

机构：

[1] Zhejiang Gongshuang Univ, Coll Comp Sci & Informat Engn, Hangzhou, Zhejiang, Peoples R China

来源：

PROCEEDINGS OF INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE AND COMPUTATIONAL TECHNOLOGY (ISCSCT 2009) | 2009年

关键词：

Image classification; semantic classification; image retrieval; Super Vector Machine; keyword-based retrieval;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

There is a gap between low-level descriptions of image content and the semantic understanding of users to query image databases in the content-based image retrieval. In this paper, we put forward a method of classifying image regions hierarchically using their semantics and that resembles peoples' perception more than using low-level features. The experiments show, the better precision of semantic classification justifies the feasibility of our method. It uses in image retrieval field further and get better index effect.

引用

页码：458 / 461

页数：4

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