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Multihypothesis motion compensation in the redundant wavelet domain

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Multihypothesis motion compensation in the redundant wavelet domain
Multihypothesis motion compensation is extended into the transform domain by using a redundant wavelet transform to produce multiple predictions that are diverse in transform phase. The corresponding inverse transform implicitly combines the multihypothesis predictions into a single spatial-domain prediction for motion compensation such that no side information is needed to describe the combination weights. Additionally, we use a hierarchical search to tailor the motion-vector field to individual phases. Substantial gains in rate-distortion performance are obtained in comparison to an equivalent system using single-phase prediction.
Suxia Cui, Yonghui Wang, James E. Fowler
Added 24 Oct 2009
Updated 24 Oct 2009
Type Conference
Year 2003
Where ICIP
Authors Suxia Cui, Yonghui Wang, James E. Fowler
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