Low complexity dynamic region and translational motion estimation for video indexing

A new low complexity approach to motion estimation for video indexing is proposed. The fast polynomial regression transform (FPRT) is utilized to provide the efficient storage layout model and effective video database for manipulating the multimedia information system. The video content information of video image is compressed by FPRT. Global translational motion vectors and location of dynamic regions are computed from the compressed data. Our experiments show that this approach is very efficient for fast motion based video indexing.