Motion data management of 3D moving objects

The movement of 3D Object in virtual environment is complicated to present because of the complexity of the motion representation and the large quantity of its data. In this paper, we represent the motion of moving 3D objects in function or time series form, and introduce Hyper-Rectangle Compression (HRC) to compress and store the motion sample data as vector time series by predictive transform and quantization. We also discuss different indexing techniques, like hashing, R⁺ tree and IP indexing, to make the query efficient.