Locating interesting parts of an image | Hacker News Reader

Locating interesting parts of an image

iptech-group.com

71 pointsmmastrac10 comments

I've written the cropping algorithm being used at Facebook, here is a write-up of the method if you are interested: http://blog.vjeux.com/2012/facebook/best-cropping-position.h...

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...

Very interesting approach thanks, unfortunately we don't have the social features ...

Reddit's thumbnailing script works nice as well, https://github.com/reddit/reddit/blob/master/r2/r2/lib/scrap...

edit: I even think you are using a similar method.

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.

This looks like a nice, simple solution. Now I wonder if there is a solution similar to this written in PHP.

I found this:

http://jueseph.com/2010/06/opticrop-content-aware-cropping-w...

Seems to be a similar solution using PHP and ImageMagick.

Would an application of seam carving[1] be useful?

https://en.wikipedia.org/wiki/Seam_carving

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.

http://en.wikipedia.org/wiki/Rule_of_thirds http://en.wikipedia.org/wiki/Golden_ratio#Aesthetics

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".

Sounds VERY interesting. I was wondering - is there a python implementation of this algorithm somewhere?

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