FoP: Never-ending face recognition and data lifting

Julien Subercaze (1) , Christophe Gravier (1)

1 LT2C - Laboratoire Telecom Claude Chappe

In this demonstration, we present Faces of Politics (FoP), a face detection system from pictures illustrating news arti- cles. The rst iteration of the face recognition model pro- pelling FoP was trained using Freebase data about politicians and their pictures. FoP is a never-ending system: when a new face is recognized, the learned model is updated ac- cordingly. At this step, FoP is also giving data in return to the LoD cloud that fed him in the rst place: it leverages visual knowledge as Linked Data.

Mots clés: face recognition; data lifting; never-ending learner

Domaines: Web; Base de données [cs.DB]

Julien Subercaze, Christophe Gravier. FoP: Never-ending face recognition and data lifting. ACM Conference on Hypertext and Hypermedia, Sep 2014, Santiago, Chile. pp.321-323. ⟨hal-00995682⟩