Name
Abstract | ||
|---|---|---|
We introduce a novel correlation model, called predictive Binary Symmetric Channel (BSC), for Distributed Source Coding (DSC). We then consider non-uniform binary sources and show that, for the predictive BSC model, the non-uniformity does not reduce the compression rate in asymmetric DSC. We assess the minimum achievable rate loss induced by a mismatch between the assumed and the true correlation models. We also propose an LDPC-based decoder adapted to both the classical (additive) BSC and the new (predictive) BSC correlation models. Finally, for Distributed Video Coding (DVC) application, we propose a criterion that allows us to switch between the two correlation models. |
Year | Venue | Keywords |
|---|---|---|
2010 | Aalborg | correlation methods,decoding,parity check codes,source coding,video coding,dvc,ldpc-based decoder,asymmetric dsc,compression rate,correlation model,distributed source coding,distributed video coding,minimum achievable rate loss,nonuniform binary sources,nonuniform source modeling,predictive bsc model,predictive binary symmetric channel,true correlation models,predictive models,codecs,additives,correlation |
Field | DocType | ISSN |
Binary symmetric channel,Data compression ratio,Low-density parity-check code,Algorithm,Theoretical computer science,Coding (social sciences),Distributed source coding,Decoding methods,Mathematics,Codec,Binary number | Conference | 2219-5491 |
Citations | PageRank | References |
5 | 0.43 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Velotiaray Toto-Zarasoa | 1 | 10 | 0.87 |
| Aline Roumy | 2 | 464 | 32.54 |
| Christine Guillemot | 3 | 1286 | 104.25 |