Conference Paper

J. E. Fowler, “Analysis of Redundant-Wavelet Multihypothesis for Motion Compensation,” in Proceedings of the IEEE Data Compression Conference, J. A. Storer and M. Cohn, Eds., Snowbird, UT, March 2006, pp. 352-361.

• Abstract:
  An analysis is presented that examines multihypothesis motion-compensated video coding using a redundant wavelet transform to produce multiple predictions that are diverse in transform phase. In such redundant-wavelet multihypothesis, the corresponding multiple-phase inverse transform implicitly combines the phase-diverse predictions into a single spatial-domain prediction. The performance advantage of this approach is investigated analytically, invoking the fact that the multiple-phase inverse involves a projection that significantly reduces the power of the noise not captured by the motion model. The analysis predicts that, under the assumption of a simple translational motion model, redundant-wavelet multihypothesis is capable of up to a 7-dB reduction in prediction-error variance over an equivalent single-phase, single-hypothesis approach. Experimental results support the performance advantage for real motion-compensation residuals.

• Text:

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