A Novel Algorithm For The Multi-Level Semantic Information Of Image Searching

Author

Ouyang-Yi ; Zhang-Zhiyong

Author_Institution

Coll. of Comput. & Inf. Eng., Zhejiang Gongshang Univ.

Volume

1

fYear

2007

fDate

12-14 Feb. 2007

Firstpage

758

Lastpage

763

Abstract

To make e-commerce information searching across Internet more efficient, e-commerce image searching becomes increasingly important. In this paper, A new multi-level semantic frames is first introduced. Based on grayscale histogram and Gabor texture analysis, we propose a novel method to connect the e-commerce Image to multi-level semantic frames. The method can be applied to e-commerce image information retrieval. Experiment on an image database of about 8,600 general-purpose images show that the algorithm perform well in precision and adaptability.

Keywords

Internet; electronic commerce; image retrieval; Gabor texture analysis; Internet; e-commerce image information retrieval; e-commerce information searching; grayscale histogram; image searching; multi-level semantic information; Clustering algorithms; Content based retrieval; Educational institutions; Electronic commerce; Gray-scale; Histograms; Image databases; Image retrieval; Information retrieval; Internet; Commercial image; grayscale histogram; image retrieval; semantic; texture;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Communication Technology, The 9th International Conference on

Conference_Location

Gangwon-Do

ISSN

1738-9445

Print_ISBN

978-89-5519-131-8

Type

conf

DOI

10.1109/ICACT.2007.358463

Filename

4195242