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    Extraction of social context and application to personal mulitmedia exploration

    Access Status
    Fulltext not available
    Authors
    Adams, Brett
    Phung, Dinh
    Venkatesh, Svetha
    Date
    2006
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Adams, Brett and Phung, Dinh and Venkatesh, Svetha. 2006. Extraction of social context and application to personal multimedia exploration, in Nahrstedt, L. and Turk, M. and Rui, Y. and Klas, W. and Mayer-Patel, K. (ed), 14th annual ACM international conference on Multimedia 2006, Oct 23 2006, pp. 987-996. Santa Barbara, USA: Association for Computing Machinery (ACM).
    Source Title
    Proceedings of the 14th annual ACM international conference on Multimedia
    Source Conference
    14th annual ACM international conference on Multimedia 2006
    Additional URLs
    http://doi.acm.org/10.1145/1180639.1180857
    ISBN
    1595934472
    Faculty
    School of Electrical Engineering and Computing
    Department of Computing
    Faculty of Science and Engineering
    Remarks

    ACM Copyright notice: Copyright © 2006 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org

    URI
    http://hdl.handle.net/20.500.11937/14498
    Collection
    • Curtin Research Publications
    Abstract

    Personal media collections are often viewed and managed along the social dimension, the places we spend time at and the people we see, thus tools for extracting and using this information are required. We present novel algorithms for identifying socially signicant places termed social spheres unobtrusively from GPS traces of daily life, and label them as one of Home, Work, or Other, with quantitative evaluation of 9 months taken from 5 users. We extract locational co-presence of these users and formulate a novel measure of social tie strength based on frequency of interaction, and the nature of spheres it occurs within. Comparative user studies of a multimedia browser designed to demonstrate the utility of social metadata indicate the usefulness of a simple interface allowing navigation and ltering in these terms. We note the application of social context is potentially much broader than personal media management, including context-aware device behaviour, life logs, social networks, and location-aware information services.

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