SMoFinder: A System for Querying Complex Human Motions Using a Kinematic Approach

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.