Image and Video Clipping by Minimizing Weighted Histogram Intersection

Abstract

We describe a method for clipping a rectangular region from an image by minimizing the weighted intersection of two color histograms that are constructed with pixels inside and outside the rectangular region. In the clipped image, the main object in the original image is relatively zoomed up. Experimental results showed that this proposed method can clip the object regions from images and remove the background regions. The proposed clipping method is also applicable to videos.