Global motion estimation under translation-zoom ambiguity

  title={Global motion estimation under translation-zoom ambiguity},
  author={Chun Qian and Ivan V. Bajic},
  journal={2013 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)},
Global motion estimation (GME) is an important technique in video processing, segmentation, and compression. In this correspondence, we propose a GME algorithm that offers improved accuracy especially in the presence of large-scale zoom. The proposed algorithm is derived from the observation that there exists an ambiguity between translation and zoom for simple geometric shapes such as lines, which may cause conventional GME to produce inaccurate estimates. Experimental results confirm the… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 14 references

Reducing the complexity of MPEG-4 global motion estimation using pixel subsampling,

  • H. Alzoubi, W. D. Pan
  • Electronics Letters,
  • 2008
1 Excerpt

Multiple global affine motion models used in video coding,

  • X. Li
  • PhD Dissertation, Georgia Institute of Technology…
  • 2007
1 Excerpt

Video Processing and Communications

  • Y. Wang, J. Ostermann, Y.-Q. Zhang
  • Prentice Hall
  • 2001
1 Excerpt

Similar Papers

Loading similar papers…