Fast global motion estimation based on local motion segmentation

نویسندگان

  • Ming Fai Fu
  • Oscar C. Au
  • Wing Cheong Chan
چکیده

In MPEG-4, global motion estimation (GME) and global motion compensation can improve the visual quality of local motion estimation/compensation. However, the computational complexity of GME is very high. Even the existing fast algorithm, FFRGMET, in the MPEG-4 OM3 software is not fast enough. In this paper, we propose a fast GME algorithm called APSGME. It uses motion vectors from the PMVFAST local motion estimation to perform early termination, foreground/background blockbased segmentation, feature point selection. Experimental results shown that APSGME can achieve considerable speed-up over FFRGMET while improving the visual quality simultaneously.

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تاریخ انتشار 2003