DocumentCode :
1594252
Title :
High-speed Data Retrieval in an Eigenspace Employing a B-tree Structure
Author :
Kouno, Kensuke ; Tan, Joo Kooi ; Ishikawa, Seiji
Author_Institution :
Dept. of Control Eng., Kyushu Inst. of Technol., Kitakyushu
fYear :
2006
Firstpage :
2717
Lastpage :
2720
Abstract :
In this paper, we propose a technique for retrieving a database containing a large amount of data at high-speed for the purpose of recognizing human postures/motions. There is a technique for recognizing a 3D object from its 2D image set. But it has a disadvantage that the retrieval time increases in proportion to the number of objects registered in the database. We have developed a high-speed retrieval technique of such a large database by applying B-tree data structure to the database. An experiment was performed employing some human posture images as well as alphabetical images and the proposed technique achieved satisfactory results
Keywords :
computer vision; eigenvalues and eigenfunctions; image motion analysis; image registration; image retrieval; tree data structures; visual databases; B-tree data structure; data retrieval; eigenspace database; human posture image; Control engineering; Covariance matrix; Data structures; Eigenvalues and eigenfunctions; Humans; Image databases; Image recognition; Information retrieval; Object oriented databases; Object recognition; B-tree; Eigenspace; database; recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
Type :
conf
DOI :
10.1109/SICE.2006.315195
Filename :
4108106
Link To Document :
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