• DocumentCode
    3077765
  • 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
  • fYear
    2011
  • fDate
    5-9 Dec. 2011
  • Firstpage
    1
  • Lastpage
    5
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
  • Conference_Location
    Houston, TX, USA
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-9266-4
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2011.6134031
  • Filename
    6134031