I tried to use saliency-based approaches but they don't really work that well for non artistic photos. For example, this image[1] would have edges everywhere but next to the faces.
If you have some time, I would be interested in seeing the results of your approach in my example images[2].
Yes I'm using a similar method in the first section of the article (information theoretic solution), but I think that reddit is using the entropy of an image instead of the self-information. The self-information yields to better results in our case (empirically). In the latter sections I use different methods.
From my photography experience which i also apply to graphic design the Rule on thirds and the Golden ratio are the best ways to locate / create interesting parts of an image. This can be achieved by clever cropping too.
Doesn't this rely on the photographer having framed the photo with that in mind originally? Given a set of arbitrary photos I'm not sure the rule of thirds could be applied in any meaningful way to pick the "interesting bits".
I tried to use saliency-based approaches but they don't really work that well for non artistic photos. For example, this image[1] would have edges everywhere but next to the faces.
If you have some time, I would be interested in seeing the results of your approach in my example images[2].
[1] - https://fbcdn-sphotos-c-a.akamaihd.net/hphotos-ak-snc6/p206x...
[2] - http://blog.vjeux.com/wp-content/uploads/2012/10/cropping.ht...