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Social life networks: a multimedia problem?

Published: 21 October 2013 Publication History

Abstract

Connecting people to the resources they need is a fundamental task for any society. We present the idea of a technology that can be used by the middle tier of a society so that it uses people's mobile devices and social networks to connect the needy with providers. We conceive of a world observatory called the Social Life Network (SLN) that connects together people and things and monitors for people's needs as their life situations evolve. To enable such a system we need SLN to register and recognize situations by combining people's activities and data streaming from personal devices and environment sensors, and based on the situations make the connections when possible. But is this a multimedia problem? We show that many pattern recognition, machine learning, sensor fusion and information retrieval techniques used in multimedia-related research are deeply connected to the SLN problem. We sketch the functional architecture of such a system and show the place for these techniques.

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    cover image ACM Conferences
    MM '13: Proceedings of the 21st ACM international conference on Multimedia
    October 2013
    1166 pages
    ISBN:9781450324045
    DOI:10.1145/2502081
    Permission to make digital or hard copies of all or part 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, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 21 October 2013

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    Author Tags

    1. event-based system
    2. situation recognition
    3. social computing
    4. social networks

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    MM '13
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    MM '13: ACM Multimedia Conference
    October 21 - 25, 2013
    Barcelona, Spain

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    MM '13 Paper Acceptance Rate 47 of 235 submissions, 20%;
    Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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    Cited By

    View all
    • (2021)Optimal Pre-Filtering for Improving Facebook Shared ImagesIEEE Transactions on Image Processing10.1109/TIP.2021.309379430(6292-6306)Online publication date: 2021
    • (2017)Searching Personal Photos on the Phone with Instant Visual Query Suggestion and Joint Text-Image HashingProceedings of the 25th ACM international conference on Multimedia10.1145/3123266.3123446(118-126)Online publication date: 23-Oct-2017
    • (2017)Integration of Diverse Data Sources for Spatial PM2.5 Data InterpolationIEEE Transactions on Multimedia10.1109/TMM.2016.261363919:2(408-417)Online publication date: 1-Feb-2017
    • (2015)Socializing Multimodal Sensors for Information FusionProceedings of the 23rd ACM international conference on Multimedia10.1145/2733373.2807995(653-656)Online publication date: 13-Oct-2015
    • (2015)Geospatial interpolation analytics for data streams in eventshop2015 IEEE International Conference on Multimedia and Expo (ICME)10.1109/ICME.2015.7177513(1-6)Online publication date: Jun-2015
    • (2014)A Real-time Complex Event Discovery Platform for Cyber-Physical-Social SystemsProceedings of International Conference on Multimedia Retrieval10.1145/2578726.2578755(201-208)Online publication date: 1-Apr-2014

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