Visual Search Engine Tracks Stolen Images
Barence writes "A new visual search engine could help photographers keep track of their photographs whenever, and wherever, they appear on the internet. The TinEye search engine allows users to search by uploading a picture rather than typing in a keyword. It then conducts a pixel-by-pixel search across the internet, flagging all instances of that image even if it's been cropped, merged or digitally altered in some way. It's not just for copyright enforcement though; 'it's being used by researchers who need to find where an image came from to provide attribution, even people who are trying to find out who people are in old photos.' It's currently in beta, but you can try it out."
"it's being used by researchers who need to find where an image came from to provide attribution, even people who are trying to find out who people are in old photos."
I think in this context, it's pretty obvious that the software's not trying to discover who people are, or who shot the photograph. It's the researchers who use this tool. If you have one website without attribution or other names, and you search for other pages, you might find a different page that has the same image along with more information.
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The least significant bit of each pixel. Oh, and now it appears that this tool doesn't work.
Yeah, how about you just watch the video on their website before suggesting that what they do would be as retarded as comparing the values of each pixel. It's surely closer to cross correlation, meaning it's nothing like comparing pixel values but more like correlating the image's space-frequency components.
By the way, does anyone have any clue what information they store and compare? They obviously don't cross correlate your search image with every image in their index every time you search, so what could they possibly store that would allow them to correlate images?
You just got troll'd!