Map/Reduce in CBIR application

Author

Shi, Liangliang ; Wu, Bin ; Wang, Bai ; Yan, Xuguang

Author_Institution

Beijing Key Lab. of Intell. Telecommun. Software & Multimedia, Beijing Univ. of Posts & Telecommun., Beijing, China

Volume

4

fYear

2011

fDate

24-26 Dec. 2011

Firstpage

2465

Lastpage

2468

Abstract

Since the birth of the concept of Content Based Image Retrieval, it has been a hot issue of computer vision and pattern recognition subject. In the information age, with the rapid growth of the data, how can we retrieval image quickly and accurately from the vast amounts of image data become a problem. This paper proposes a method of applying the Map/Reduce model in the Cloud Computing to Content Based Image Retrieval. Through experiments on the image library of different sizes, we confirmed that this method can greatly improve the efficiency of image retrieval on massive image data.

Keywords

cloud computing; computer vision; content-based retrieval; image retrieval; CBIR application; MapReduce model; cloud computing; computer vision; content-based image retrieval; image data; image library; image retrieval; information age; pattern recognition subject; Computers; Image color analysis; Image recognition; Manuals; Multimedia communication; Robustness; Telecommunications; CBIR; MapReduce; cloud computing; histogram;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Network Technology (ICCSNT), 2011 International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4577-1586-0

Type

conf

DOI

10.1109/ICCSNT.2011.6182469

Filename

6182469