MIT software will tell you if your pictures are really interesting – SmartWorld

Leonardo benches 20 December 2015

The interest of the Massachusetts Institute of Technology for your photos It seems extremely high: after working in partnership with Google to eliminate reflections and artifacts, the prestigious institute aims now to find out which images are the most memorable , thanks to a program based on ‘ Artificial Intelligence .

MemNet (the name of the software), is analyzing the images and subjects portrayed in them to understand which parts are the most important, and therefore worthy of mention: according to their visibility within the box then assigns a number between 0 and 1 , which outlines the total index of memorability image.

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To develop MemNet, and teach them to recognize the most important elements of the picture, researchers have relied on real human beings , the who you were asked to assign a value of memorability of images based on the ease with which they will be printed in the memory after seeing them. MemNet analyzed these results, and in the final challenge has proved better than any other software of the same type, and only a few percentage points worse than human opponents in the predict the importance of image .

The results obtained from MemNet are expressed in the form of a Heat Map superimposed image in which the subjects highlighted in red are the most remarkable and important, while in blue areas, backgrounds or elements more difficult to remember and to print in its memory.

If further refined, the program will be useful not only to improve image editing software, but for many purposes: advertising or creators of study materials , for example, you can easily find out if they intend to use the pictures are really well built and effective for their purpose. Meanwhile, since MemNet is available online, you can use it to find out if the photos you took during the holidays, you want to show to friends and family, they really stand a chance to be remembered for more than a minute.

Via: TheNextWeb