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2014 | OriginalPaper | Buchkapitel

6. Recognizing People in Social Context

verfasst von : Gang Wang, Andrew Gallagher, Jiebo Luo, David Forsyth

Erschienen in: Human-Centered Social Media Analytics

Verlag: Springer International Publishing

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Abstract

The people in an image are generally not strangers, but instead often share social relationships such as husband-wife, siblings, grandparent-child, father-child, or mother-child. Further, the social relationship between a pair of people influences the relative position and appearance of the people in the image. This chapter explores using familial social relationships as context, recognizing people and recognizing the social relationships between pairs of people. We introduce a model for representing the interaction between social relationship, facial appearance, and identity. The experiments on a set of personal collections show that significant improvement in people recognition is achieved by modeling social relationships, even in a weak label setting that is attractive in practical applications. Furthermore, we show that social relationships are effectively recognized in images from a separate test image collection.

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Titel: Recognizing People in Social Context
verfasst von: Gang Wang
Andrew Gallagher
Jiebo Luo
David Forsyth
Verlag: Springer International Publishing
Buch: Human-Centered Social Media Analytics
Print ISBN: 978-3-319-05490-2

Electronic ISBN: 978-3-319-05491-9

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-3-319-05491-9_6

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