The Future of Image Search
In a recent entry on beet.tv, RJ Pittman talks about what google is doing with image search. Pittman references what essentially amounts to an image recognition A.I. that analyzes images and pre-populates them with tags. This is to be used concurrently with systems already in place (geotagging, etc…)
This actually falls very much inline with a recent entry by Seth Godin. In this entry, The Clowd, Godin describes a system that handles much of what we do now. Pictures are uploaded to a “cloud”. The cloud is able to analyze the picture and automatically know: who is in it, where it was taken, and how it can group with it other photos.
This is the heart of innovation. New systems need to make things easier on the people using them. A new feature on the website that lets you zoom in with Ajax, or change color correction is nice–but is that the purpose of your web based photo service? Social networking is no longer an “extra”; it has become expected. For some it is too much of a hassle to try and network with people, the next step? Create a system the is smart enough to handle the legwork of social networking, without compromising privacy.
Of course, if this system is created, we would need to create a new buzzword. Geomicrophotoblogging is too long.