When: Monday, December 12, 3:30 p.m.- 4:45 p.m.

Where: 1507 Newell-Simon Hall

Dr. R. Craig Coulter

VASC Seminar

Abstract:
Computer vision technologies are only beginning to emerge from research and development and into broader application. Scaling vision algorithms presents enormous, unaddressed challenges to the community and is creating a whole new branch of computer vision research: Massively Scalable Systems. Consider for a moment the challenges of simply testing a computer vision application. Testing is currently peformed by hand, through visual inspection, and usually by the research group itself, across a relatively small batch of test images - usually a few hundred to a few thousand. HyperActive Technologies is applying computer vision technologies into the quick-service and general retail markets - applications where the same core set of detection and tracking algorithms will operate in tens of thousands of locations daily. Developing a "retail grade" computer vision application for a 20,000 store chain will require building a system that processes some 40 billion images per day, or 15 trillion images per year. Achieving this goal will require the community to completely rethink its approach to application development, testing, and in-field performance monitoring. This talk will focus on exploring the challenges of defining a new area of computer vision research: "Massively Scalable Computer Vision Systems".

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