DocumentCode
479440
Title
SMoFinder: A System for Querying Complex Human Motions Using a Kinematic Approach
Author
Jung, Hyungsoo ; Han, Hyuck ; Kim, Shin-gyu ; Yeom, Heon Y.
Author_Institution
Sch. of Comput. Sci. & Eng., Seoul Nat. Univ., Seoul
Volume
1
fYear
2008
fDate
11-13 Nov. 2008
Firstpage
640
Lastpage
643
Abstract
Recently there has arisen concern in both the database community and the graphics society about data retrieval from large motion databases because the high dimensionality of motion data implies high costs. It is a challenging problem to find an effective distance measure and an efficient query processing method for such data. In this paper, we present an elaborate motion query processing system, SMoFinder (Similar Motion Finder), which incorporates a novel kinematic distance measure.
Keywords
biomechanics; feature extraction; kinematics; query processing; SMoFinder; complex human motions; data retrieval; kinematic approach; query processing; similar motion finder; Bones; Databases; Graphical user interfaces; Hip; Humans; Information retrieval; Joints; Kinematics; Motion measurement; Query processing; Motion search;
fLanguage
English
Publisher
ieee
Conference_Titel
Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on
Conference_Location
Busan
Print_ISBN
978-0-7695-3407-7
Type
conf
DOI
10.1109/ICCIT.2008.255
Filename
4682098
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