Scalable predictive coding by nested quantization with layered side information

TL;DR: An efficient scalable predictive coding method is proposed for the Wyner-Ziv problem, using nested lattice quantization followed by multi-layer Slepian-Wolf coders (SWC) with layered side information.

Abstract: An efficient scalable predictive coding method is proposed for the Wyner-Ziv problem, using nested lattice quantization followed by multi-layer Slepian-Wolf coders (SWC) with layered side information The proposed coder can support embedded representation and high coding efficiency by exploiting the high quality version of the previous frame in the enhancement-layer coding of the current frame Specifically, the decoder generates the enhancement-layer side information with an estimation approach to take into account all the available information to the enhancement layer On the other hand, a practical switching algorithm is applied at the encoder to simplify the correlation estimation on the channel code design by assuming either the current reconstructed base-layer frame or prior enhancement-layer reconstruction as side information Experiments based on a DPCM model show great benefits to the enhancement layer reconstruction The paper also discusses the possible adaptation of this approach to practical video compression