Remote source coding with two-sided information

Basak Guler, Ebrahim Molavianjazi, Aylin Yener

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

    6 Scopus citations

    Abstract

    This paper studies the impact of side information on the lossy compression of a remote source, one which is indirectly accessed by the encoder. In particular, we identify the conditions under which sharing side information between the encoder and the decoder may be superior or inferior to having two-sided, i.e., correlated but not identical, side information. As a special case, we characterize the optimal rate-distortion function for a direct binary source with two-sided information by proposing an achievable scheme and proving a converse. This example suggests a hierarchy on the impact of side information, in that the performance is mainly determined by how well the decoder learns about the source and then by how well the encoder learns about the decoder's observation.

    Original languageEnglish (US)
    Title of host publicationProceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages2176-2180
    Number of pages5
    ISBN (Electronic)9781467377041
    DOIs
    StatePublished - Sep 28 2015
    EventIEEE International Symposium on Information Theory, ISIT 2015 - Hong Kong, Hong Kong
    Duration: Jun 14 2015Jun 19 2015

    Publication series

    NameIEEE International Symposium on Information Theory - Proceedings
    Volume2015-June
    ISSN (Print)2157-8095

    Other

    OtherIEEE International Symposium on Information Theory, ISIT 2015
    CountryHong Kong
    CityHong Kong
    Period6/14/156/19/15

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Information Systems
    • Modeling and Simulation
    • Applied Mathematics

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