Title :
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
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;
Conference_Titel :
Network Infrastructure and Digital Content, 2010 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6851-5
DOI :
10.1109/ICNIDC.2010.5657846
