iCoseg: Interactive Co-segmentation with Intelligent Scribble Guidance

We present an algorithm for Interactive Cosegmentation of a foreground object from a group of related images. While previous approaches focus on unsupervised co-segmentation, we use successful ideas from the objectcutout literature. We develop an algorithm that allows users to decide what foreground is, and then guide the output of the co-segmentation algorithm towards it via scribbles. Interestingly, keeping a user in the loop leads to simpler and highly parallelizable energy functions, allowing us to work with significantly more images per group. However, unlike the interactive single image counterpart, a user can not be expected to exhaustively examine all (tens of) cutouts returned by the system to make corrections. Hence, we propose iCoseg, an automatic recommendation system that intelligently recommends where the user should scribble next. We introduce and make publicly available the largest cosegmentation dataset with 38 groups, 643 images, and pixelwise groundtruth annotations....

• Type: Conference
• Year: 2010
• Where: CVPR
• Authors: Dhruv Batra, Adarsh Kowdle, Devi Parikh, Jiebo Luo, Tsuhan Chen
• Keywords: Computer Vision, CVPR 2010, Interactive Cosegmentation, Segmentation And Grouping