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In this paper we present a spatio-bi-temporal fading scheme for block loss recovery in block-based video decoding systems. In the first part of the algorithm, based on two different boundary error criterions obtained from bi-temporal error concealment, either the previous, the future, or fading between both temporal methods is used for bi-temporal macroblock estimation. A weighted absolute difference between motion compensated image samples and macroblock boundary samples of the current frame represents one boundary error. In the second part of the algorithm, based on a boundary error criterion obtained from bi-temporal concealment, spatial, bi-temporal, or fading between both methods is used for recovering a lost macroblock. The advantage of this method is that one lost macroblock can be recovered pelwise spatially from the current or bi-temporally from the previous and the future frame by weighted averaging both error concealment results. The simulation results have shown that for recovering a lost macroblock this method outperforms the reference methods both in subjective and objective video quality.

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In this contribution we propose a new spatio-temporal fading scheme for block loss recovery in block-based video decoding systems. Based on a boundary error criterion obtained from temporal error concealment, either spatial, temporal, or fading of both methods is used for recovering lost image samples in one macroblock. The weights for fading are interpolated from the boundary error. A weighted absolute difference between well received macroblock boundary samples from the current frame and motion compensated macroblock boundary samples from the previous frame represents the boundary error. It is shown, that in case of transmission errors this method can successfully be used for block loss recovery.

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