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
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;
Conference_Titel :
Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on
Conference_Location :
Busan
Print_ISBN :
978-0-7695-3407-7
DOI :
10.1109/ICCIT.2008.255
