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ICSI BEARS Open House
ICSI Research Staff
Thursday, February 12, 2009
2:00-4:00 p.m.
The ICSI BEARS Open House is held in conjunction with the Berkeley EECS Annual Research Symposium. ICSI scientists will be on hand throughout to discuss and demonstrate their
latest research in networking, bioinformatics, artificial intelligence,
speech and natural language processing, and machine learning.
Agenda:
| 2:00 | Poster Session | | 2:45 | Featured Presentation: "Image Recognition for Intelligent Multimodal Interfaces" |
| Prof. Trevor Darrell | | UC Berkeley and Leader of ICSI's new Vision Group |
| 3:30 | Refreshments and continuation of Poster Session |
A shuttle service will be available to transport guests from BEARS to ICSI and back.
To learn more about BEARS 2009 and register: http://www.eecs.berkeley.edu/IPRO/BEARS/
Abstract:
When interaction concerns the physical world, interfaces should do their
best to search for information using direct observation. This is true
both for interaction between robots and human users, and for information
search using mobile devices. Image-based interfaces have been tried in
the past, but generally required visually simple objects--uniform color,
etc.--or presumed that barcodes could 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, and category-level recognition is rapidly improving. 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.
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