filename     : Per16b.pdf
entry        : inproceedings
conference   : The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, USA.
pages        :
year         : 2016
month        : June
title        : Bilateral Space Video Segmentation
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author       : Marki, Nicolas and Perazzi, Federico and Wang, Oliver and Sorkine-Hornung, Alexander
booktitle    :
ISSN/ISBN    :
editor       :
publisher    : IEEE
publ.place   :
volume       :
issue        :
language     : English
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abstract     : In this work, we propose a novel approach to video segmentation that operates in bilateral space. We design a new energy on the vertices of a regularly sampled spatio-temporal bilateral grid, which can be solved efficiently using a standard graph cut label assignment. Using a bilateral formulation, the energy that we minimize implicitly approximates long-range, spatio-temporal connections between pixels while still containing only a small number
of variables and only local graph edges. We compare to a number of recent methods, and show that our approach achieves state-of-the-art results on multiple benchmarks in a fraction of the runtime. Furthermore, our method scales
linearly with image size, allowing for interactive feedback on real-world high resolution video.