Image Saliency: From Intrinsic to Extrinsic Context

by Meng Wang, Janusz Konrad, Prakash Ishwar and Kevin Jing, Henry Rowley

The method contains three steps:

• by kNN, the given image's saliency is computed from the images in the dictionary (global or patch by patch basis);
• a warping algorithm helps to align the kNN to the original image/patch
• the saliency is the reconstruction error

The idea is to find those part of the image that can't be explained by its neighbors (i.e. might be salient enough to catch your attention).

We may use an extra dictionary or we may simply split the image into patches.