Title :
Discriminatory Lossy Source Coding: Side Information Privacy
Author :
Tandon, Ravi ; Sankar, Lalitha ; Poor, H. Vincent
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA
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.
Keywords :
binary codes; encoding; source coding; Heegard-Berger encoding scheme; Heegard-Berger problem models; binary source; discriminatory lossy source coding; side information privacy; uninformed decoder; Decoding; IEEE Communications Society; Indexes; Markov processes; Privacy; Source coding;
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
Conference_Location :
Houston, TX, USA
Print_ISBN :
978-1-4244-9266-4
Electronic_ISBN :
1930-529X
DOI :
10.1109/GLOCOM.2011.6134031