Fw: fwd: Penn State Live -- Researchers teach computers to search for photos based on content

I just spoke on this topic last night in a photoclass in Fresno Ca conducted by Gene Weiser.



------Original Message------
From: Pete Weiss
Sender: Computer-assisted Reporting & Research
To: CARR-L@LISTSERV.LOUISVILLE.EDU
ReplyTo: Computer-assisted Reporting & Research
Sent: Oct 8, 2008 1:33 PM
Subject: fwd: Penn State Live -- Researchers teach computers to search for photos based on content

http://live.psu.edu/story/35158

Researchers teach computers to search for photos based on content

Wednesday, October 8, 2008

A pair of Penn State researchers has developed a statistical approach, called Automatic Linguistic Indexing of Pictures in Real-Time (ALIPR), that one day could make it easier to search the Internet for photographs. The public can participate in improving ALIPR's accuracy by visiting a designated Web site, http://www.alipr.com, uploading photographs, and evaluating whether the keywords that ALIPR uses to describe the photographs are appropriate.

[...]

Although the team's goal is to improve ALIPR's accuracy, Li said she does not believe the approach ever will be 100-percent accurate. "There are so many images out there and so many variations on the images' contents that I don't think it will be possible for ALIPR to be 100-percent accurate," she said. "ALIPR works by recognizing patterns in color and texture. For example, if a cat in a photo is wearing a red coat, the red coat may lead ALIPR to tag the photo with words that are irrelevant to the cat. There is just too much variability out there." Li currently is pursuing some new ideas that may help her to achieve better recognition of image semantics.

This research is being supported by the National Science Foundation.
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NB -- you may be interested in Gary Price's ResourceShelf 'Multimedia Search' category:

http://www.resourceshelf.com/category/web-20/multimedia/



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