Abstract—A novel video decoding algorithm based on the min-imum mean square error (MMSE) criterion is investigated in this research. To alleviate the effect of transmission errors, we first de-velop an error propagation model to estimate and track the mean square error (MSE) of each pixel in the decoder. Then, the pro-posed video decoding algorithm adjusts the reconstruction of each pixel adaptively according to fluctuating channel conditions. More specifically, the decoder reconstructs a pixel in the th frame by using a weighted sum of two pixels in frames
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Kim et al. (2005) studied this question.
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