@inproceedings{5be5ec1210574514b82a51ed720e0664,
title = "Scalable Source Coding With Causal Side Information and a Causal Helper",
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 informations as well as on the helper's conference both renders the problem tractable and simplifies the optimal code.",
author = "Bross, {Shraga I.}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Symposium on Information Theory, ISIT 2020 ; Conference date: 21-07-2020 Through 26-07-2020",
year = "2020",
month = jun,
doi = "10.1109/isit44484.2020.9174143",
language = "الإنجليزيّة",
series = "IEEE International Symposium on Information Theory - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2405--2409",
booktitle = "2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings",
address = "الولايات المتّحدة",
}