Scalable face labeling in online social networks

Ronald Walter Poppe

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    4 Citations (Scopus)

    Abstract

    Face labeling is the process of assigning names to faces. In this paper, we start from a weakly-supervised setting where names are linked to photos, not faces. We introduce two face labeling strategies that scale well to large data sets and allow for labeling parts thereof. This is a useful property especially for data sets where photos are frequently added or (re)labeled. We evaluate our and two related face labeling strategies on a novel corpus of 34,763 faces, gathered from an online social network for dance party visitors. We achieve a speed-up of an order of magnitude over the state-of-the-art approach while the labeling quality is almost unaffected. On a subset of the faces, the speed-up is even more apparent, reaching at least two orders of magnitude.
    Original languageUndefined
    Title of host publication2 011 IEEE International Conference on Automatic Face & Gesture Recognition and Workshops (FG 2011)
    Place of PublicationPiscataway, NJ
    PublisherIEEE Computer Society
    Pages566-571
    Number of pages6
    ISBN (Print)978-1-4244-9140-7
    DOIs
    Publication statusPublished - 19 May 2011
    Event9th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2011 - Santa Barbara, United States
    Duration: 21 Mar 201125 Mar 2011
    Conference number: 9

    Conference

    Conference9th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2011
    Abbreviated titleFG
    CountryUnited States
    CitySanta Barbara
    Period21/03/1125/03/11

    Keywords

    • METIS-277638
    • IR-77272
    • EWI-20170
    • Online Social Network
    • HMI-MR: MULTIMEDIA RETRIEVAL
    • Face Recognition
    • Face naming
    • Face retrieval
    • Social Network

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