Microsoft Technology Licensing, LLC

Tom Ellis

Sebastian Nowozin

Cecily Peregrine Borgatti Morrison

Daniel Coelho De Castro

An image processing system is described which has a memory holding at least one image depicting at least one person previously unseen by the image processing system. The system has a trained probabilistic model which describes a relationship between image features, context, identities and a plurality of names of people, wherein at least one of the identities identifies a person depicted in the image without an associated name in the plurality of names. The system has a feature extractor which extracts features from the image, and a processor which predicts an identity of the person depicted in the image using the extracted features and the probabilistic model.

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Cambridge, United Kingdom

Tom Ellis