Most of the hierarchical block matching algorithms reduce computation by matching only some of the locations inside the search area. In this paper, we propose a novel hierarchical partial distortion search (HPDS) algorithm which reduces the computation of each distortion measure instead of the number of checking points by using partial distortion measure. Experimental results show that the proposed algorithm provides 6 times speed up as compared with full search while maintains the MSE performance very close to full search. Moreover, it can also achieve 20 times speed up when the MSE performance is kept close to the well-known three-step search. With appropriate parameter selections, the proposed algorithm can fit HDTV and MPEG-2 applications where high motion estimation accuracy is required, or real-time video conferencing applications where encoding speed is critical.
Index Terms:
motion estimation; hierarchical block motion estimation algorithm; partial distortion measure; hierarchical block matching algorithms; MSE performance; three-step search; parameter selections; HDTV; MPEG-2; high motion estimation accuracy; real-time video conferencing applications; encoding speed
Citation:
Chok-Kwan Cheung, Lai-Man Po, "A hierarchical block motion estimation algorithm using partial distortion measure," icip, vol. 3, pp.606, 1997 International Conference on Image Processing (ICIP'97) - Volume 3, 1997