Reducing DVC decoder complexity in a multicore system

Distributed Video Coding (DVC) provides a new coding paradigm based on lower complex encoders than decoders. On the decoder side some missed frames have to be estimated by means of available frames and a correlation noise model. In addition, parity bit chunks can be requested to the encoder across the feedback channel to correct the mismatches of these frames. This is an iterative procedure which collets most of the complexity of the decoder. In this work, a novel approach is proposed to parallelize the DVC decoding process in a multicore system. In this way, each bitplane is decoded at the same time by a different core and they exchange information to update the integration limits of the probably model, reaching a time reduction up to 80% with a little bitrate penalty but maintaining the same PSNR.