Perceptual
feed-back
in multigrid motion estimation using an improved DCT quantization |
|
J.Malo, J.Gutierrez, I.Epifanio,
F.Ferri,
and J.M.Artigas
IEEE Trans. Im. Proc. Vol.10, 10,
pp.
1411-1427 (2001) |
|
Abstract
In this work, a multigrid motion
compensation
video coder scheme based on the current HVS contrast discrimination
models
is proposed. A novel procedure for the prediction errors encoding,
which
restricts the maximum perceptual distortion in each transform
coefficient,
has been developed. This subjective redundancy removal procedure
includes
the amplitude non-linearities and some temporal features of human
perception.
A perceptually weighted control of the adaptive motion estimation
algorithm
has been derived from this model. Perceptual feed-back in motion
estimation
ensures a perceptual balance between the motion estimation effort and
the
redundancy removal process. The results show that this feed-back
induces
a scale-dependent refinement strategy that gives rise to more robust
motion
estimates which facilitate higher level sequence interpretation. The
comparison
of the proposed scheme versus a H.263 scheme with unweighted motion
refinement
and MPEG-like quantization shows the overall subjective superiority of
the proposed improvements.
|
|
Keywords: Video coding.
Entropy-constrined
motion estimation. Perceptual quantization. Non-linear perception model.
References: 47
|
|
|