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Everyone may be a critic, but now Penn State researchers are paving a way for machines to get in on the act. However, the researchers add that their photo-analysis algorithm is designed to offer constructive feedback, not to replace photographers.
The researchers have developed an algorithm that analyses the arrangement of visual elements—the composition—of digital photographs. It also offers feedback about the perceived composition of the photograph and provides examples of similarly composed pictures of high aesthetic value, said James Wang, professor of information sciences and technology. Wang and colleagues recently received a patent for the system. "If you think about aesthetics, everything is about composition," said Wang. "You can look into colours, or textures, or shapes, but, if you boil it down, you eventually have to consider all of these elements as part of composition."
Training a machine to become an art critic is not easy, according to the researchers. A machine must be trained with examples of highly regarded photographs in order to recognize good compositional elements, said Jia Li, professor of statistics, who worked with Wang.
The original article can be found at Phys.org.
The original source can be found at Penn State University.
(Score: 3, Interesting) by frojack on Saturday August 15 2015, @03:50AM
I think you have read way too much into it.
It is nothing lie what you suggest, the system has no idea of the 3D scene, and is presented only with a 2d picture. Using this picture, and a whole bunch of similar pictures that it has been told are compositionally pleasing, it puts out comments about how to make the picture more like the similar pictures.
So all it is doing is automating the critique of pictures, similar to what any photography instructor would do with first year photograph students to pass down his interpretation of a pleasing layout. You can find examples of these composition rules [photographymad.com] all over the net. But in this case, rather than the system knowing the rules, it simply has a bunch of similar pictures to use as good (and perhaps bad) examples.
So there is even less knowledge built into the system than you might expect. Given a bunch of instagram photos as examples, the system would probably recommend steps to change a perfectly good photo into a amateurish construction of intentionally imposed horrible filters, bad lighting, and crappy composition,
No, you are mistaken. I've always had this sig.
(Score: 0) by Anonymous Coward on Saturday August 15 2015, @09:04AM
I'm sure all great photographers just are simply following the rules better than everyone else. Just like Shakespeare, Bach, Picasso were expertly following the rules for how to create art. I recommend reading Zen in the Art of Motorcycle Maintenance which talks about this - it's really cool book.