  Seam carving is a method to resize an image in a content aware fashion.
However, this method can also be used to carve out objects from images. In this
paper, we propose a two-step method to detect and localize seam carved images.
First, we build a detector to detect small patches in an image that has been
seam carved. Next, we compute a heatmap on an image based on the patch
detector's output. Using these heatmaps, we build another detector to detect if
a whole image is seam carved or not. Our experimental results show that our
approach is effective in detecting and localizing seam carved images.
