An effective luggage searching system based on image classification and retrieval

Author

Rao, Feng ; Zhao, Yanyun ; Cai, Anni

Author_Institution

Multimedia Commun. & Pattern Recognition Labs., Beijing Univ. of Posts & Telecommun., Beijing, China

fYear

2010

fDate

24-26 Sept. 2010

Firstpage

164

Lastpage

168

Abstract

In this paper, we propose an efficient luggage searching system based on image classification and retrieval. In this system, we can register and retrieve the luggage automatically. We bring in classification to register images so as to increase the retrieval speed. The Block HSV histogram and the scale invariant feature transform (SIFT) are used for image retrieval. Experiments show that the proposed system has a fast speed and high precision.

Keywords

Gabor filters; computer vision; content-based retrieval; image classification; image retrieval; text analysis; block HSV histogram; image classification; image registeration; image retrieval; luggage searching system; retrieval speed; scale invariant feature transform; Feature extraction; Gabor filters; Histograms; Image color analysis; Image retrieval; Support vector machines; Block HSV Histogram; Content-based Retrieval; Gabor Wavelet; LUV Color Space; SIFT; Text Description; Text-based Retrieval;

fLanguage

English

Publisher

ieee

Conference_Titel

Network Infrastructure and Digital Content, 2010 2nd IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-6851-5

Type

conf

DOI

10.1109/ICNIDC.2010.5657846

Filename

5657846