GAUSSIAN MIXTURE MODEL BASED APPROACH TO COLOR IMAGE RETRIEVAL

被引：0

作者：

Luszkiewicz, Maria ^{[1
]}

Smolka, Bogdan ^{[1
]}

机构：

[1] Silesian Tech Univ, Dept Automat Control, Akad 16 Str, PL-44100 Gliwice, Poland

来源：

PROCEEDINGS OF THE 2007 15TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING | 2007年

关键词：

gaussian Mixture Model; image retrieval; lossy compression; color histogram;

D O I：

10.1109/ICDSP.2007.4288635

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Recently, with the explosive growth of the World Wide Web resources of digital color images, much research effort has been devoted to the development of efficient content based image retrieval Systems. In this Contribution we propose a color indexing method based on the Gaussian Mixture Model of a histogram. The model parameters serve as signatures enabling fast and efficient color image. retrieval.)A,e present the results of performed experiment,, which show that proposed approach is robust to color image distortions introduced by compression artifacts. Therefore, the proposed Method is Well suited for indexing and retrieval of Internet based collections of color images stored in lossy formats.

引用

页码：527 / +

页数：2

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