Scalable video coding via motion-compensated spatio-temporal wavelet decompositions has gained a great interest in transmission over heterogeneous networks due to the flexibility of the resulting bitstream to accomodate various network conditions as well as user capabilities and demands. Meanwhile, the adaptation of the bitstream to the available bandwidth can lead to discarding the finest detail subbands during the transmission. The loss of these subbands would result in a low quality, oversmoothed reconstructed sequence. In this paper, we present a statistical spatio-temporal model between the wavelet coefficients and we show its efficiency in the prediction of the high frequency subbands and in the quality enhancement of the scalable video.
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