Perceptual feed-back
in multigrid motion estimation using an improved DCT quantization |
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J.Malo, J.Gutierrez, I.Epifanio, F.Ferri,
and J.M.Artigas
IEEE Trans. Im. Proc. Vol.10, 10, pp.
1411-1427 (2001) |
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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.
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Keywords: Video coding. Entropy-constrined
motion estimation. Perceptual quantization. Non-linear perception model.
References: 47 |
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