Searching with Images instead of Words
johnsee writes "A computer vision researcher by the name of Hartmut Neven is developing ingenious new technology that allows the searching of a database by submitting an image, for example, off a mobile phone camera. Imagine taking a photo of a street corner to find out where you are, or the photo of a city building to see its history"
Tell me, which is easier? Upload this image and try to find out where you are via this Visual Google, or enter the street name (street sign in the photo says "Queen Street") in Text Google?
The article also mentioned this thing should start small, like a movie guide, so is it easier to upload a 2K "I,Robot" billboard photo, or just enter "I,Robot" in Google on your cell phone?
As long as human input is still required (i.e. you need to submit something), I don't think this is going to be popular. However, if you have a Oakley that automatically takes photos of what you see and feeds you the location details, that'll be something.
Rock that crushes, Paper & Scissors that don't matter.
..imagine being the guy who has to photograph EVERY STREET CORNER IN THE WORLD.
"Nobody owns the fucking words man." - James Dean
So when do you combine this with Fleck's nude recognition algorithms to provide a service that can identify a person by partial nude picture?
The possibilities are endless!
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While this looks pretty cool, I'm confused by the examples provided in the writeup - "Imagine taking a photo of a street corner to find out where you are, or the photo of a city building to see its history" since GPS technology would probably be a better enabler for those specific applications.
Hulk SMASH Celiac Disease
the pr0n industry is going to love this.
sulli
RTFJ.
Imagine taking a photo of a street corner to find out where you are, or the photo of a city building to see its history
or a photo of your wife to see...
oh never mind.
Enter search criteria: (.)(.)
Table-ized A.I.
I'm a beta tester for this product and have gotten some scary results. For instance, I was on vacation in Yellowstone and took a photo of Old Faithful with my camera phone. I submitted it and it gave me back search results for tubgirl!
how much harder is it to just use a regular text search for the restaraunt, movie, building, etc. that you want info on? It's like voice dialing on a cell phone, good idea, but it's about ten times faster and more effective to either dial or scroll to the name you want to call manually.
1: Take picture of current date's frontside archtecture.
2: Submit to search.
3: Reply: You can do better than that. Try her older sister.
"It's the height of ridiculousness to say for those 9 lines you get hundreds of millions."
Sounds like we may have a winner for Wired's 2005-2010 Vaporware awards.
Or taking a picture of someone and finding out their history.
click
"Whoa Dude!, she's been on 4 amature Pr0n sites!"
There are 01 kinds of cars in the world. The General Lee, and everything else.
Yes, imagine that.
1: Take picture with ultra-modern all-features camera phone of building while lost in city.
2: Submit to search system.
3: Search system queries phone's built-in GPS for position information.
4: Search system sends back retrieved GPS location.
5: Customer is absolutely blown away and immediately sends back picture of self signing virtual 10-year contract at Early Adopter prices.
6: Profit!
"It's the height of ridiculousness to say for those 9 lines you get hundreds of millions."
...are gonna love this too. Take a picture of the girl you like and do a search. This has some scary connotations I'm afraid.
"...Well, there's egg and bacon; egg sausage and bacon; egg and spam; egg bacon and spam; egg bacon sausage and spam..."
Maybe this can be used for robots to recognise stuff or something like that.
This seems less like a technology article and more like an advertisement for Hartmut Neven himself. Yes, he's built a 'google for images'... But how does it perform? How exactly is it 'ingenious'? What sets his project apart from the handful of people at almost every University with a Computer Vision research department that is tackling the problem. The problem of matching images is well known, and very difficult to solve. Even in my grad school (BU), which has a small number of computer vision grad students, there are two different research projects on this very topic.
"Imagine taking a photo of a street corner to find out where you are..."
Imagine reading that street sign you just took a photo of to find out where you are.
SIGFAULT
When your brain 'recognises' what it is looking at, it is doing a lot more than just comparing two images (as in the street-corner example from the article). Your brain simply doesnt operate in terms of bitmaps.
The fact that he is basing his hyper-vaporous product on facial-recognition software should set of alarm bells. Facial-recognition in a real-world context has consistently failed to be of any use at all, although it may work fine under lab conditions.
If all the money invested so far hasn't made a computer able to successfully recognise a subset of the visual field (faces), why should I believe in a machine that is able to recognise practically anything?
Imagine you're a photographer. Professional or hobbyist, I don't care. You have made thousands of pictures; they all are on your hard drive.
Imagine you're lazy. (Maybe you don't have to imagine that.) You don't want to describe your photos, you don't want to label them. The only metadata associated to your photos is date and time.
Imagine you're looking for a particular photo. You know where you'va taken it, you know what is on it, you can remember the subject, the color shades, etc. You just can't remember exactly when you took that picture. How do you search for it?
Well, you quickly make a drawing in which you try to (sort of) replicate colors and shapes. And you let your computer search for "similar" graphics.
Such software exists already (for quite some time). There's a beta Free software project (GNU licenced) called imgseek . Current version: 0.8.4. I haven't tried it, I don't know how good it is. But this screenshot looks impressive.