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Invited talk: image recognition for intelligent interfaces
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International Conference on Intelligent User Interfaces archive
Proceedings of the 13th international conference on Intelligent user interfaces table of contents
Sanibel Island, Florida, USA
SESSION: Keynote talks table of contents
Pages 1-2  
Year of Publication: 2009
ISBN:978-1-60558-168-2
Author
Trevor Darrell  UC Berkeley EECS & ICSI, Berkeley, CA, USA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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ABSTRACT

When interaction concerns the physical world, interfaces should do their best to search for information using direct observation. Image-based interfaces have been tried in the past, but generally required artificial barcode tags to be affixed to each viewed object or surface. Recent advances in computer vision and content-based image retrieval have enabled fast and robust indexing from images of individual objects--CD covers, book jackets, magazine advertisements, etc.--even on relatively low-power platforms such as camera-equipped mobile phones. I'll review the relevant algorithms and design of such systems, and discuss what types of image recognition interfaces are feasible in the near term. I'll describe very recent work on multimodal question answering interfaces, which combine image and text query matching with human-in-the-loop interaction. I'll close with a discussion of the anticipated future progress on category-level visual recognition, and what classes of interfaces it may enable.