- using tools like http://www.pictriev.com/ or similar offline solutions to get a pretty good estimate of her age.
- using image analysis to "fingerprint" the camera used to take the picture. Then crawling sites where she would be likely to post pictures (twitter, etc.) based on the suspected area and comparing to find matches (i.e. pictures taken with the same camera). I'm not sure what the current state-of-the-art is for those algorithms, but if for instance the camera displayed an obvious visible flaw (darker spot), it would have made it easier. On a perfectly clean camera without visible defects I assume that more than one picture is necessary for effective camera fingerprinting.
- using tools like http://www.pictriev.com/ or similar offline solutions to get a pretty good estimate of her age.
- using image analysis to "fingerprint" the camera used to take the picture. Then crawling sites where she would be likely to post pictures (twitter, etc.) based on the suspected area and comparing to find matches (i.e. pictures taken with the same camera). I'm not sure what the current state-of-the-art is for those algorithms, but if for instance the camera displayed an obvious visible flaw (darker spot), it would have made it easier. On a perfectly clean camera without visible defects I assume that more than one picture is necessary for effective camera fingerprinting.
- using tools like http://graphics.cs.cmu.edu/projects/im2gps/ to try and determine the location just based on visual features.