Image and video segmentation: the normalized cut framework

We propose a segmentation system based on the normalized cut framework proposed by Shi and Malik (see Proc. IEEE Conf. Computer Vision and Pattern Recognition, San Juan, Puerto Rico, p.731-7, 1997). The goal is to partition the image from a big picture point of view. Perceptually significant groups are detected first while small variations and details are treated later. Different image features-intensity, color, texture, contour continuity, motion and stereo disparity are treated in one uniform framework.