Adaptive motion estimation and video vector quantization based on spatio-temporal non-linearities of human perception | |||
J. Malo, F. Ferri, J. Albert and J.M.
Artigas
Lecture Notes on Computer Science, Vol. 1310, 1, pp 454-461 (1997) |
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Abstract
The two main tasks of a video coding system
are motion estimation and vector quantization of the signal. In this work
a new splitting criterion to control the adaptive decomposition for the
non-uniform optical flow estimation is exposed. Also a novel bit allocation
procedure is proposed for the quantization of the DCT transform of the
video signal. These new approaches are founded on a perception model that
reproduce the relative importance given by the human visual system to any
location in the spatial frequency, temporal frequency and amplitude
domain of the 3D DCT transform. The experiments show that the proposed
procedures behave better than their equivalent (fixed-block-size motion
estimation and fixed-step-size quantization of the spatial DCT) used by
MPEG-2.
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Keywords:
Video coding. Motion estimation. Perceptual oriented quantization. References: 14 |
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