Abstract
With more and more images being uploaded to social networks each day, the resources for identifying a large portion of the world are available. However the tools to harness and utilize this information are not sufficient. This paper presents a system, called PhacePhinder, which can build a face database from a social network and have it accessible from mobile devices. Through combining existing technologies, this is made possible. It also makes use of a fusion probabilistic latent semantic analysis to determine strong connections between users as well as social photos. We demonstrate a working prototype that can identify a face from a picture taken from a mobile phone using a database derived from images gathered directly from a social network and return a meaningful social connection to the recognized face.
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Bloess, M., Kim, HN., Rawashdeh, M., El Saddik, A. (2013). Knowing Who You Are and Who You Know: Harnessing Social Networks to Identify People via Mobile Devices. In: Li, S., et al. Advances in Multimedia Modeling. MMM 2013. Lecture Notes in Computer Science, vol 7732. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35725-1_12
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DOI: https://doi.org/10.1007/978-3-642-35725-1_12
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