Feature Extraction for Digital Object in Pervasive Computing Environment

Author

Song, Ruixia ; Wang, Xiaochun ; Li, Jian

Author_Institution

Coll. of Sci., North China Univ. of Tech., Beijing

Volume

1

fYear

2008

fDate

6-8 Oct. 2008

Firstpage

163

Lastpage

168

Abstract

In view of the multiplicity of the information in pervasive computing environment, this paper propose a new kind of mathematical model-V-system with multi-resolution property, with which we can do spectrum analysis for the whole multimedia data. By doing global analysis to two and three dimensional digital geometric objects, the global characteristics of the corresponding digital information is obtained, and the digital information is then accurately reconstructed. Further, recognition and classification on the geometric information can be done.

Keywords

feature extraction; image recognition; image resolution; multimedia computing; spectral analysis; ubiquitous computing; V-system; classification; global analysis; mathematical model; multi-resolution property; multimedia data; pervasive computing environment; recognition; spectrum analysis; three dimensional digital geometric objects; two dimensional digital geometric objects; Educational institutions; Embedded computing; Feature extraction; Humans; Information analysis; Mathematical model; Multimedia computing; Pervasive computing; Physics computing; Space technology; Feature extraction; Frequency spectrum analysis; Recognition and classification; V-system;

fLanguage

English

Publisher

ieee

Conference_Titel

Pervasive Computing and Applications, 2008. ICPCA 2008. Third International Conference on

Conference_Location

Alexandria

Print_ISBN

978-1-4244-2020-9

Electronic_ISBN

978-1-4244-2021-6

Type

conf

DOI

10.1109/ICPCA.2008.4783567

Filename

4783567