Improving Block-Based Disparity Estimation by Considering the Non-uniform Distribution of the Estimation Error

Falkenhagen, Lutz; Wedi, T.

doi:10.1007/3-540-49437-5_7

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…As this is the case with the error distribution functions presented in [4] and [5], only coefficients with even index differences need to be taken into account for prediction. An example with three predictor coefficients is depicted in Figure 3, which requires an extension of the above to 2D.…”

Section: Methodsmentioning

confidence: 99%

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Prediction of DCT coefficients considering motion compensation error distributions

Schmidt

Edler

Ostermann

2011

2011 Visual Communications and Image Processing (VCIP)

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Abstract-Current video coding techniques use a Discrete Cosine Transform (DCT) to reduce spatial correlations within the motion estimation residual. Often the correlation cannot be completely eliminated leaving the transform coefficients statistically dependent. The presented paper proposes a method to predict these coefficients on a block level by using the distribution of the prediction error variance to improve coding efficiency. First experiments lead to a reduction in bit rate by 1.83% when compared to the standard JM 17.2 implementation results.

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Section: Methodsmentioning

confidence: 99%

“…The error resulting from this prediction was thought to be evenly distributed. Figure 1 on the other hand indicates the real distribution of the residual: The difference between motion compensated and original image is bigger towards the edges of the block, which makes it possible to model the variance of the error [4] [5].…”

Section: Introductionmentioning

confidence: 99%