Generalized Dynamic Time Warping for Multiple Multidimensional Sequence Alignment
Now-a-days, the alignment of multidimensional sequences is required in many applications especially for multimedia data. The ordinary DTW is not well satisfied this condition because it can only align a pair of 1D sequences at once. Applying traditional DTW to these tasks not only makes each pairwise alignments are independent but also causes each dimensions are compared separately. In this paper, the generalized algorithm of Dynamic Time Warping (DTW) is proposed for multiple multidimensional time series alignments, called Multiple Multidimensional Dynamic Time Warping (MM-DTW).