Earlier quoted context omitted.
You aren't on reddit, freakball.
Looking at the start of this thread I can see how he might have gotten confused.
Mr. Face, meet Mr. Palm.
Reverse image search engine
31–40 of 47 posts
Re: Reverse image search engine
#32Now would be the time to take down copywritten images from your blog/etc...
As a photographer I must say that istockphoto and the non licensed (the proper term escapes me) images on flickr give bloggers and web designers no excuses.
Re: Reverse image search engine
#33OK one use of this is to check for your copyrighted photos obv.
But will people pay for such a service?
There are just so many companies starting with seemingly no way to make money.
Re: Reverse image search engine
#34A good sample image URL: http://ycombinator.com/images/yc500.gif Very impressive work. I can't think of any real need for it myself, but it is cool.
It definitely is awesome. Just tweeted the founder of this Toronto-based startup for some comments from her in this discussion.
Re: Reverse image search engine
#35this works pretty well, try this stock image out:
http://www.istockphoto.com/file_thumbview_approve/3709313/2/...
if you browse the results, it even finds the image's use in formatted/manipulated graphics
Re: Reverse image search engine
#36Earlier quoted context omitted.
I have an idea for how to do a better reverse image search engine. The problem with this one is that it only matches exact images. But what if it was possible to match against any feature within the source image, rather than the exact, entire source image you search for? For each image in the index, break it up into 4x4 tiles, then store a hash code for each tile. Then repeat the process, but offset the boundary of e…
? really ? First, looking at the examples, it doesn't seem to be restricted to exact images, not by a long shot. Second, your approach is hopelessly naive. ;) Consider: rescaling, re-encoding using a lossy image format, color adjustments, and so on. Good news though, I bet your approach is way, way, _less_ computationally expensive than whatever it is they are doing ;) (My guess would be something like SIFT or SURF,…
Thanks for the tip about the technology - the company does not say anything,
Re: Reverse image search engine
#37From the site after a 0 match result: "TinEye looks for the specific image you uploaded, not the content of the image. TinEye cannot identify people or objects in an image."
So it's not what some of us might have been afraid of.
Re: Reverse image search engine
#38OK one use of this is to check for your copyrighted photos obv. But will people pay for such a service? There are just so many companies starting with seemingly no way to make money.
Content owners pay a lot of money to protect their content. They pay money to lawyers, lobbyists, and companies like Media Sentry to snoop in on P2P traffic.
It's not a stretch to say they will pay to find stolen images. I'd venture they'd pay pretty well too.
Re: Reverse image search engine
#39Re: Reverse image search engine
#40Not bad, but I think it would be more useful if I could submit an image and have the engine give me all the facts it could dig up about it, based on its context in other pages, geo tags and camera type (if available), etc. I think we're going to see some very interesting developments along these lines very soon. Scary stuff too. Imagine submitting a picture of yourself and finding out what the internet knows about yo…
Imagine submitting a picture of yourself and finding out what the internet knows about you based on your physical appearance.
Actually I think this sort of technology would be just as useful for the dating sites to help weed out potential fake profiles.