Creating Better Thumbnails
Abstract
When a user wants to find a particular image in a set, they will often scan a table of thumbnails instead of flipping through the full-sized images. The smaller the thumbnails, the more images can be displayed on one screen, and the shorter it (theoretically) takes to find a particular image. Once a thumbnail is small enough, however, the loss of detail can make it difficult to recognize the the original image, lessening the thumbnails effectiveness. A smarter way would be to first select the the most recognizable, or salient, part of the image, and then shrink it. This project implements a thumbnail creator that creates a saliency map for a given image, and crops/scales it down to a specified size.
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