Visualizing progressive discovery

Computational problems are increasingly relying on context-aware approaches for tractable solutions. Usually, these approaches statically link additional sources of information to those already present in the problem space. We have been building CueNet, a context discovery framework, which will dynamically discover the most relevant context for a given application problem. In this demonstration, we will show how the identities of people in personal photos can be discovered through contextual information. In this demonstration, we present Picatrix: an event based photo browsing web interface. Users can select a photo, and see a live visualization of how our context discovery algorithm, seeded with the initial information, discovers context from different data sources, and uses it to tag the faces in the given photo.