Facing scalability: Naming faces in an online social network

Ronald Walter Poppe

    Research output: Contribution to journalArticleAcademicpeer-review

    8 Citations (Scopus)

    Abstract

    Automatically naming faces in online social networks enables us to search for photos and build user face models. We consider two common weakly supervised settings where: (1) users are linked to photos, not to faces and (2) photos are not labeled but part of a user's album. The focus is on algorithms that scale up to an entire online social network. We extensively evaluate different graph-based strategies to label faces in both settings and consider dependencies. We achieve results on a par with a recent multi-person approach, but with 60 times less computation time on a set of 300K weakly labeled faces and 1.4 M faces in user albums. A subset of the faces can be labeled with a speed-up of over three orders of magnitude.
    Original languageUndefined
    Pages (from-to)2335-2347
    Number of pages13
    JournalPattern recognition
    Volume45
    Issue number6
    DOIs
    Publication statusPublished - Jun 2012

    Keywords

    • HMI-CI: Computational Intelligence
    • HMI-MR: MULTIMEDIA RETRIEVAL
    • Weak labeling
    • Online Social Network
    • EWI-21519
    • METIS-285135
    • IR-79722
    • Graph-Based
    • Face naming
    • Scalability

    Cite this