To improve the running speed of image resizing. a fast content-aware image resizing algorithm was proposed based on the threshold learning and random-carving with probability. Firstly the important map was calculated by combining the graph-based visual saliency map and gradient map. Then the image threshold value was obtained by radial basis function (RBF) neural network learning. https://www.animationbengal.com/