Statistical Image Feature Based Block Motion Estimation for Video Sequences

비디오 영상에서 통계적 영상특징에 의한 블록 모션 측정

  • Bae, Young-Lae ;
  • Cho, Dong-Uk ;
  • Chun, Byung-Tae
  • Published : 2003.03.01

Abstract

We propose a block motion estimation algorithm based on a statistical image feature for video sequences. The statistical feature of the reference block is obtained, then applied to select the candidate starting points (SPs) in the regular starting points pattern (SPP) by comparing the statistical feature of reference block with that of blocks which are spread ower regular SPP. The final SPs are obtained by their Mean Absolute Difference(MAD) value among the candidate SPs. Finally, one of conventional fast search algorithms, such as BRGDS, DS, and three-step search (TSS), has been applied to generate the motion vector of reference block using the final SPs as its starting points. The experimental results showed that the starting points from fine SPs were as dose as to the global minimum as we expected.

Keywords

block Motion;estimation;image feature;motion vector