Panoramic video coding using affine motion compensated prediction
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
A robust and hierarchical approach for camera motion classification
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
An automatic image inpainting method for rigid moving object
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
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In this paper, automatic and efficient global motion estimation for video sequences is proposed. In this estimation, we find and pick up pairs of feature points in the edge lines within the successive frames using the match algorithm. We then choose the best set of three pair points to measure the parameters of the Affine Model which describes the global motion. The result shows that we can obtain the Affine parameters of global motion efficiently in video sequences.