Exploring album structure for face recognition in online social networks

    Authors

    J. Hochreiter; Z. K. Han; S. Z. Masood; S. Fonte;M. Tappen

    Comments

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    Abbreviated Journal Title

    Image Vis. Comput.

    Keywords

    Face recognition; Online social networks; Structural SVM; Computer Science, Artificial Intelligence; Computer Science, Software; Engineering; Computer Science, Theory & Methods; Engineering, Electrical; & Electronic; Optics

    Abstract

    In this paper, we propose an album-oriented face-recognition model that exploits the album structure for face recognition in online social networks. Albums, usually associated with pictures of a small group of people at a certain event or occasion, provide vital information that can be used to effectively reduce the possible list of candidate labels. We show how this intuition can be formalized into a model that expresses a prior on how albums tend to have many pictures of a small number of people. We also show how it can be extended to include other information available in a social network. Using two real-world datasets independently drawn from Facebook, we show that this model is broadly applicable and can significantly improve recognition rates. (C) 2014 Elsevier B.V. All rights reserved.

    Journal Title

    Image and Vision Computing

    Volume

    32

    Issue/Number

    10

    Publication Date

    1-1-2014

    Document Type

    Article

    Language

    English

    First Page

    751

    Last Page

    760

    WOS Identifier

    WOS:000342256700012

    ISSN

    0262-8856

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