Visualizing progressive discovery

Authors:
Arjun Satish;Ramesh Jain;Amarnath Gupta
Affiliations:
University of California, Irvine, Irvine, CA, USA;University of California, Irvine, Irvine, CA, USA;University of California, San Diego, San Diego, CA, USA
Venue:
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
Year:
2013

Citing 3
Cited 0

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Abstract

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.