FOMTrace: Interactive Video Segmentation By Image Graphs and Fuzzy Object Models

Understand

Common users have changed from mere consumers to active producers of multimedia data content.

• Video editing plays an important role in this scenario, calling for simple segmentation tools that can handle fast-moving and deformable video objects with possible occlusions, color similarities with the background, among other challenges.
• We present an interactive video segmentation method, named FOMTrace, which addresses the problem in an effective and efficient way.
• From a user-provided object mask in a first frame, the method performs semi-automatic video segmentation on a spatiotemporal superpixel-graph, and then estimates a Fuzzy Object Model (FOM), which refines segmentation of the second frame by constraining delineation on a pixel-graph within a region where the object's boundary is expected to be.