Discriminatory lossy source coding: Side information privacy

Ravi Tandon, Lalitha Sankar, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The Heegard-Berger problem models a case in which encoding at a source has to account for two decoders, one with and one without correlated side information when the same information is not available at the encoder. The Heegard-Berger encoding scheme is proved to be rate-optimal even when an additional constraint on the privacy of side information is imposed at the uninformed decoder. The results are illustrated for a binary source with erasure side information and Hamming distortion, a result which is also of independent interest.

Original languageEnglish (US)
Title of host publication2011 IEEE Global Telecommunications Conference, GLOBECOM 2011
DOIs
StatePublished - Dec 1 2011
Externally publishedYes
Event54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011 - Houston, TX, United States
Duration: Dec 5 2011Dec 9 2011

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Other

Other54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011
Country/TerritoryUnited States
CityHouston, TX
Period12/5/1112/9/11

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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