A fast two-step search algorithm for half-pixel motion estimation

With the extensive application of integer-pixel fast search algorithms, the half-pixel full search consumes a significant portion of the entire motion estimation time. To reduce its computational complexity, a Two-Step Search (2SS) algorithm for half-pixel motion estimation is proposed in this paper. The 2SS algorithm is based on the fact that the SAD distortion function increases monotonically as the search location moves away from the sub-pixel minimum within the /spl plusmn/1 pixel neighborhood of integer-pixel search result. Simulation results show that the proposed algorithm is simple and efficient. It requires less than one half of the computation compared with that for the full half-pixel search while maintaining almost the same image quality and bit rate.

[1]  R. Srinivasan,et al.  Predictive Coding Based on Efficient Motion Estimation , 1985, IEEE Trans. Commun..

[2]  Krit Panusopone,et al.  An analysis and efficient implementation of half-pel motion estimation , 2002, IEEE Trans. Circuits Syst. Video Technol..

[3]  Lai-Man Po,et al.  A novel cross-diamond search algorithm for fast block motion estimation , 2002, IEEE Trans. Circuits Syst. Video Technol..

[4]  Bing Zeng,et al.  A new three-step search algorithm for block motion estimation , 1994, IEEE Trans. Circuits Syst. Video Technol..

[5]  T Koga,et al.  MOTION COMPENSATED INTER-FRAME CODING FOR VIDEO CONFERENCING , 1981 .

[6]  K. R. Rao,et al.  Motion Compensated Interframe Image Prediction , 1985, IEEE Trans. Commun..

[7]  Lai-Man Po,et al.  A novel four-step search algorithm for fast block motion estimation , 1996, IEEE Trans. Circuits Syst. Video Technol..