An obvious challenge is how to cope with the enormous amount of data generated. This calls for light-weighted methods which run in an online manner.
A second, even more challenging task from the computer vision perspective, is to determine what humans consider as "interesting" and how this might be implemented computationally. In this talk I will show some insights of our approach and discuss recent results and limitations.