Researchers at Pennsylvania State University (Penn State) have enabled computers to automatically crop photos in an aesthetically satisfying manner.
The team simulated the amount of time the human eye is likely to linger on a particular segment of an image using the Markov chain statistical model, with attention paid to each segment's individual attributes like color, texture, brightness, and spatial relationship with other segments.
The researchers would encode such data within the parameters of the Markov chain, then the model ranks the segments, with greatest significance given to the segment that retained gaze longest, highlighting the best area to crop.
Said Penn State's James Wang, "Our code takes around 50 milliseconds to process an image of 400 by 300 pixels on a common desktop computer or laptop. As a result, our method is suitable for devices with limited memory and computing power."
From Penn State News
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