2020 IEEE International Symposium
on Information Theory
21-26 June 2020 • Los Angeles, California, USA
| Paper ID | O.3.1 | ||
| Paper Title | Scalable source coding with causal side information and a causal helper | ||
| Authors | Shraga I. Bross, Bar-Ilan University, Israel | ||
| Session | O.3: Multi-terminal Source Coding I | ||
| Presentation | Lecture | ||
| Track | Source Coding | ||
| Manuscript | Click here to download the manuscript | ||
| Virtual Presentation | Click here to watch in the Virtual Symposium | ||
| Abstract | We consider a successive refinement source coding model in which each receiver observes its own side-information causally and is required to form its reconstruction in a causal manner. Furthermore, a one way conference link of given capacity allows Decoder 1---the helper---to send causal descriptions of what it has received so far to Decoder 2. A complete characterization of the rate distortion region is provided. The optimal helper is a scalar quantizer of its side-information which depends on the corresponding first-stage message symbol sent by the encoder. Thus, the imposition of the causality constraint on the side information as well as on the helper's conference both renders the problem tractable and simplifies the optimal code. | ||
Plan Ahead
2021 IEEE International Symposium on Information Theory
11-16 July 2021 | Melbourne, Victoria, Australia
