A visual algorithm has been developed that its researchers believe can accurately rank historical art works according to their creativity, a study published in arxiv reveals.
Computer scientists Ahmed Elgammal and Babak Saleh from Rutgers University define creativity as "the originality of the product and its influential value," and used this definition to create a kind of "art network" based on how similar paintings are to earlier works. This barometer of originality, dubbed the "time machine experiment," looked at elements including everything from color and texture to the type of scenes depicted.
The pair then applied these measurements to a database of some 62,000 paintings, and enabled the algorithm to draw parallels between these creative works, from more modern paintings to those from the distant past.
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