Method and system for automatically cropping images

Abstract

The present invention relates to methods and systems for automatic image cropping. An automatic image cropping system includes a downsampling system configured to downsample an image to a threshold number of pixels, a saliency analyzer configured to compute a saliency value for each pixel based on one or more detected color clusters and a spatial scatter of the one or more color clusters, and a face detector configured to detecting one or more faces within the image. However, the saliency value of each pixel not associated with the one or more detected faces within the image is adjusted if one or more faces within the image are detected. Further, a search system is configured to define a saliency region based on a total value of saliency values within the saliency region and on a parameter, where the parameter value is based on a relative importance of a false positive pixel to a false negative pixel. The search system also defines a crop region using an aspect ratio that includes the saliency region and determines a position of the crop region based the saliency values within the crop region by performing a one dimensional search. A cropping system is configured to crop the image based on the one dimensional search. A method for automatic image cropping is also presented.