Cellphone App Developed that Could Allow For 'Pocket Supercomputers' 73
Jack Spine writes "A robotics researcher at Accenture has given a demonstration of a 'Pocket Supercomputer' — a phone behaving like a thin client. It can be used to send images and video of objects in real time to a server where they can be identified and linked to relevant information, which can then be sent back to the user. 'The camera on the phone is used to take a video of an object — such as a book ... By offloading the processing from a mobile device onto a server, there are few limits on the size and processing power available to be used for the storage and search of images.' To pinpoint the features necessary to identify an object, the image is run through an algorithm called Scale-Invariant Feature Transform, or SIFT, a technology developed by academic David Lowe. The software extracts feature points from a jpeg and makes a match against images in the database. If a match exists then the software on the server retrieves information and sends it back to the user's phone. A 'three-dimensional' image of an object can also be uploaded onto the phone, to look at the virtual object from different angles. The motion-tracking technology Accenture uses for this is a free library of algorithms called Open Computer Vision."
All boobies resemble lara croft!!! (Score:2, Funny)
Hell, it might make the same distinction if you take a picture of some melons.
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Sounds familiar (Score:1)
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This is no more "innovation" than a port of an existing software application to a new hardware architecture is "innovation."
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"Miniature supercomputers"? (Score:5, Insightful)
That's like saying my TV set at home can be called a miniature television studio.
Re:"Miniature supercomputers"? (Score:5, Insightful)
Re:"Miniature supercomputers"? (Score:5, Informative)
Lastly, atleast here in Canada, this idea is completely unrealistic anyways as the bottleneck is essentially the network not the device. A combination of high data charges, no flat rate billing plans and slow networks just doesn't mix well.
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I still remember the £300 bill I got from connecting my laptop to the phone one day and leaving windows update still enabled.. aargh. That was when the excess was something like £5/mb.
Mobile data will become useful to me when it's at about the rate of DSL.. or even in the same ballpark would be nice.
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I just tried to tag it nothingtoseehere and it said: "If you disagree with hingtoseehere, please use !hingtoseehere instead. You can edit this text field in place and click 'Tag' right now.". So let's hope we never get any articles about The Sherrif of !tingham.
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Nah, it needed to use pipes or cars :)
The biggest problem I see for these things, bandwidth. I will have no problems at all as long as my phone doesn't leave my 802.11g AP range, but outside that...
Heres a good story, I live in Australia, I have a nice shiny 3g nokia phone with all the trimmings, I have all data service providers except for my home AP removed from the settings. A friend gets a problem with his sim card, I test it in my phone (y
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Marketing note: Apply the laugh test. Tell someone who actually works with supercomputers that your cell phone app makes a "pocket supercomputer". If milk comes out their nose, don't run the story.
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Isn't this ... (Score:1)
Uses for the blind (Score:3, Interesting)
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Hooray for innovation!!1
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The age old question (Score:4, Informative)
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I, for one, find this definition highly stupid and refuse to call a machine capable of less than two orders of magnitude more FLOPS than "enthusiast"-grade hardware of the respective timeframe a supercomputer.
Even though your PSP may outperform them, "the room-filling monstrosities from the 50s" remain supercomputers to me while a '08 supercomputer wo
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Plus, I'm concerned this software could brick my cell phone, requiring me to reboot.
highest order-of-magnitude computing rate (Score:2)
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Yeah, if I recall, he hired them and he only "lost" by 25,000 votes while the exit polls clearly showed he really lost by well over 1 million. Guess Accenture screwed up on the details......
An easier way (Score:1)
Is that a supercomputer in your pocket... (Score:2)
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other reference (Score:2)
Anybody wanna try implementing it?
*Hormiga Canyon by Rudy Rucker and (?). Can't remember authors exactly, and Asimov's magazine website doesn't provide a bilbiography. In fact, their whole website is pretty shitty by today's standards. For an SF magazine, the irony is terrible.
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Sarah Connor, Episode III (Score:2)
The character had built a supercomputer out of dumpster-dived wifi-enabled smartphones.
Fox already did this on the third episode of Sarah Connor:
SPOILER
Kid drops out of CalTech, supports himself as a cellphone salesman, and, in his spare time, builds a sentient super computer out of commodity parts.
Open Computer Vison Links are here - (Score:5, Insightful)
Barcode (Score:3, Informative)
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All the QRCode processing is done on-phone. This idea has a tightly-coupled client-server relationship, and is a step in the direction of distributed mobile code and data (overdue and welcome, in my book).
My biggest interest is how the trust model will work - if you subscribe to an image-processing service like this, do they own the picture, search metadata or profiling info? (
Re:Barcode Maybe you're referring to QR Code? (Score:2, Informative)
"A QR Code is a matrix code (or two-dimensional bar code) created by Japanese corporation Denso-Wave in 1994. The "QR" is derived from "Quick Response", as the creator intended the code to allow its contents to be decoded at high speed. QR Codes are common in Japan where they are currently the most popular type of two dimensional code.
Although initially used for tracking parts in vehicle manufacturing, QR Codes are now used in a much broader context spanning both commerci
Phone schmone (Score:2)
I AM a computer vision scientist. (Score:4, Interesting)
Other than that, it's a neat hack.
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It would be more interesting performing as much processing on the phone as possible (for instance to reduce bandwidth and/or latency).
However, a cell phone has hardly the processing power to be able to perform image classification, let alone against a database of trained patterns. It might be able to extract one or two features from an image, such as RGB concentrations and hue/luminescence, but today's cell phones would have great difficulty extracting text from an image -- something that Accenture's "hack" can't yet do.
With the diminishing costs to maintain back-end servers, or the popularization of volunteering CPU time toward distr
Other ways of identifying features? (Score:2)
Thanks!
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The wiki page is a
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SIFT relies on finding interesting points to start with, and the field of finding interesting points is "corner detection". The standard SIFT implementation uses a difference-of-gaussian detector which is pretty slow.
IOW corner detection is re
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Thanks again!
3-D? Really?! (Score:1)
That's Amazing (Score:1)
Use some imagination (Score:2)
On a phone it's a little more limited, but at least you could get
wow! the real news is (Score:1)
My experience with Accenture is that they rob financial institutions by claiming to sell computing and management expertise.
Instead, they bill junior people learning Word at $1000/day, because they are Accenture (with a capital A) and the principal who made the deal went to school with some high exec at the firm being fleeced.
If there is any actual expertise at Accenture, that is indeed news.
The Eyes of Skynet (Score:2)
Accenture? (Score:1)
The phone network (Score:1)
With apologies to Sun, they were there first.