Temporally Consistent Superpixels

Matthias Reso, Jorn Jachalsky, Bodo Rosenhahn, Jorn Ostermann
2013 2013 IEEE International Conference on Computer Vision  
Superpixel algorithms represent a very useful and increasingly popular preprocessing step for a wide range of computer vision applications, as they offer the potential to boost efficiency and effectiveness. In this regards, this paper presents a highly competitive approach for temporally consistent superpixels for video content. The approach is based on energy-minimizing clustering utilizing a novel hybrid clustering strategy for a multi-dimensional feature space working in a global color
more » ... ce and local spatial subspaces. Moreover, a new contour evolution based strategy is introduced to ensure spatial coherency of the generated superpixels. For a thorough evaluation the proposed approach is compared to state of the art supervoxel algorithms using established benchmarks and shows a superior performance.
doi:10.1109/iccv.2013.55 dblp:conf/iccv/ResoJRO13 fatcat:f7lwdj2q65galfk6ybqz7rzmoi