DocumentCode :
484916
Title :
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
Link To Document :
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