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----- Original Message ----- 
From: "Thao Vy" <[EMAIL PROTECTED]>
To: <[email protected]>
Sent: Tuesday, October 23, 2007 9:59 AM
Subject: [Blind-Computing] Fw: CAPTCHAs For Social Good? (features GroZi)


> ----- Original Message ----- From: "BlindNews Mailing List"
> <[EMAIL PROTECTED]> To: <[EMAIL PROTECTED]> Sent: Monday,
> October 22, 2007 9:21 PM Subject: CAPTCHAs For Social Good? (features 
> GroZi)
>
>
> Internet News.com Monday, October 22, 2007
>
> CAPTCHAs For Social Good? (features GroZi)
>
> By Susan Kuchinskas
>
> Researchers at the University of California at San Diego have a plan to 
> meld
> the brains of Internet users into a vast human grid that would make use of
> the seconds wasted on solving CAPTCHAs (define) to enact social change.
>
> Likely familiar to any frequent Web user, CAPTCHAs are those
> difficult-to-see images comprised of squiggly letters and lines designed 
> to
> confound blog spam bots and the like. Blogs and online forums typically 
> use
> codes hidden in CAPTCHAs to prove that a poster is a human, rather than an
> automated program; ideally, a human user can see and enter a CAPTCHA's
> hidden code, while an automated program cannot.
>
> While finding a hidden CAPTCHA code may take only a couple of seconds, 
> when
> multiplied by the millions of other Internet users also responding to
> CAPTCHAs, those seconds can add up to hundreds of wasted hours.
>
> The Soylent Grid project wants to apply those wasted seconds to 
> identifying
> images for assistive technology applications.
>
> The project, named in reference to the 1973 Charlton Heston film Soylent
> Green and its famous phrase, "Soylent Green is people!", is already well 
> on
> its way toward developing ways to make use of time that would normally be
> spent on CAPTCHAs.
>
> Soylent Grid's first application to harness tiny bits of Internet users'
> attention is GroZi Shopping Assistant, a program that helps visually
> impaired people with the difficult task of locating objects in stores.
>
> LINK: http://grozi.calit2.net/
>
> A joint mission between the California Institute of Telecommunications and
> Information Technology (CalIT2) and UCSD's Computer Science and 
> Engineering
> departments, GroZi would use the Soylent Grid project to funnel to Web 
> users
> images taken by visually impaired people, who can then identify the 
> objects
> in those images.
>
> GroZi relies on a wearable system with a camera and tactile/haptic 
> feedback,
> a blind-accessible interface and computer vision-based object recognition
> software.
>
> GroZi's human need
>
> But without Soylent Grid's human factor, GroZi faces difficult technical
> hurdles. Recognizing content in digital images has long been a nut 
> difficult
> for computer science to crack. The human brain, on the other hand, is 
> superb
> at recognizing content in images, knowing immediately which object in a
> family photo is Uncle Sean and which is the family dog.
>
> For the GroZi prototype, it took developer Michele Merler, now at Columbia
> University, weeks to input the 120 products found in a single 45-minute
> video. To make the system truly useful, however, GroZi would need to be 
> able
> to decipher the staggering array of items available in modern stores 
> within
> seconds.
>
> Enter Soylent Grid. Instead of building an image database item by item, 
> the
> project could take advantage of time spent identifying CAPTCHAs. In such a
> scenario, the system could test a user attempting trying to post on a blog
> by asking them to decipher a GroZi photo instead of a traditional CAPTCHA.
>
> The idea is to do this in real time, so that a visually impaired person at 
> a
> grocery store could use GroZi to tell the corn niblets from the creamed
> corn.
>
> "The currently used types of CAPTCHAs are a complete waste once they go
> stale," said Stephen Belongie, the UCSD professor who heads the project.
> "They're totally artificial, and when hackers crack them, their approach 
> is
> invariably 'hacky' and neither reveals any insight into human object
> recognition nor does it do any good for society as a whole."
>
> While efforts in other industries are being made to improve image
> recognition -- search engines, for example, are interested in
> image-recognition technology to improve their search results -- a
> human-powered system like the GroZi-Soylent Grid effort could vastly 
> improve
> the lives of the blind and vision-impaired.
>
> Researchers outlined the benefits (PDF file) of Soylent Grid earlier this
> week in a paper presented at the Interactive Computer Vision 2007 
> conference
> in Rio de Janeiro.
>
> LINK:
> http://vision.ucsd.edu/~vrabaud/papers/SteinbachRabaudBelongieICV07SoylentGrid.pdf
>
> Soylent Grid, GroZi, and CAPTCHAs
>
> For a Soylent Grid/GroZi combination to make an impact, however, the 
> service
> would need to partner with one or more online entities that make heavy use
> of CAPTCHAs, such as blogging platforms or social media sites.
>
> For example, the Soylent Grid team estimates that Digg users could 
> identify
> an image approximately every 17 seconds. That's far from fast enough for
> someone hurrying through their shopping. Belongie estimates that five
> seconds would be an acceptable turnaround time, so GroZi would need 25 
> times
> the CAPTCHA-producing power of Digg.
>
> Image-recognition as part of a live video feed is an even more remote
> possibility.
>
> "The idea of doing real-time object recognition on a live video stream is 
> at
> the fantasy end of the Soylent Grid spectrum," Belongie said in an e-mail
> interview. "In reality, we expect it will be more likely to have an
> increased role for the computational processing component, so that the
> available human cycles are employed more opportunistically.
>
> Ideally, every product identified would go into a standalone database,
> eventually enabling quicker lookups for GroZi that wouldn't require the
> input of Web users. This ultimately could allow the Soylent Grid project 
> to
> be harnessed for other endeavors.
>
> "If the initial GroZi box had some amount of computational power ... it
> could be pulled off the grid and run locally on the GroZi box in the 
> user's
> hand, or run remotely on a private-GroZi-only computational system of much
> smaller scale," said Stephan Steinbach, another Soylent Grid project 
> member.
>
> Soylent Grid is an example of crowdsourcing, the notion of bringing 
> together
> masses of users to accomplish what no individual or company could.
>
> LINK: http://www.internetnews.com/infra/article.php/3614451
>
> HumanGrid, launched in December 2005, is another example of applying
> crowdsourcing to labor-intensive tasks. The HumanGrid marketplace, in
> private beta, aims to introduce businesses and researchers to individuals
> willing to perform micro-tasks for micro-payments, such as data 
> enhancement,
> text classification, transcription and picture classification.
>
> LINK: http://www.humangrid.eu/
>
> Amazon's Mechanical Turk service is another example; It's a similar
> automated marketplace where businesses can offer to pay humans to do tasks
> like tagging objects found in images or selecting the best photos of a
> product from a set of images.
>
> The e-tailing giant developed the technology to help sort out the 20 
> million
> photos of storefronts to be used in its A9 Yellow Pages local search
> product.
>
> LINK: http://www.internetnews.com/xSP/article.php/3465211
>
> Belongie said that Soylent Grid has a better chance of succeeding because
> its strategy of distributing the work via third-party sites creates an
> ecosystem.
>
> "For all three main parties involved -- the researchers, the Web sites, 
> and
> the users -- there's something in it for them," he said. Researchers,
> whether academic or commercial, "have data they need labeled, for which 
> one
> assumes they'd be willing to pay ... for example, someone wanting to spot
> pizza storefronts or real estate posters in Google Street views footage."
>
> "Web site owners want a fresh source of CAPTCHAs, since the ones they use
> routinely go stale, meaning they get cracked by hackers in the Ukraine," 
> he
> added. "And the users simply want to get to whatever content lies behind 
> the
> CAPTCHA."
>
>
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