Dynamic Super-Rays for Efficient Light Field Video Processing

International audience; One challenging problem with light field video editing is the dreadful volume of data to process. Image and video processing frequently rely on over-segmentation methods to reduce the computational burden of subsequent editing tasks. In this paper, we present the first approach for video light field over-segmentation called dynamic super-rays, which can be seen as temporally and angularly consistent superpixels. Our algorithm is memory efficient and fast. The results show timing close to editing time by lever-aging GPU computational power.