Mitsubishi Electric Research Laboratories, Inc.

Osman G Sezer

Anthony Vetro

Robert Cohen

A video encoded as a bit stream is decoded using trained sparse orthonormal transforms generated from decoded prediction residual signals, wherein the transforms have associated indices. A current macroblock is entropy decoded and inverse quantized to produce decoded coefficients. For the current macroblock, an L-norm regularized training process generates a set of mode-dependent sparse orthonormal inverse transforms, selected according to a prediction mode signaled in the bit stream. Decoded coefficients are inverse transformed and then are combined with previously decoded macroblocks to generate an output macroblock of a reconstructed video.

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Smyrna, GA, United States of America

Osman G Sezer