Interactive Multicut Video Segmentation
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Date
2016
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Video segmentation requires separating foreground from background, but the general problem extends to more complicated scene segmentations of different objects and their multiple parts. We develop a new approach to interactive multi-label video segmentation where many objects are segmented simultaneously with consistent spatio-temporal boundaries, based on intuitive multi-colored brush scribbles. From these scribbles, we derive constraints to define a combinatorial problem known as the multicut-a problem notoriously difficult and slow to solve. We describe a solution using efficient heuristics to make multi-label video segmentation interactive. As our solution generalizes typical binary segmentation tasks, while also improving efficiency in multi-label tasks, our work shows the promise of multicuts for interactive video segmentation.
Description
@inproceedings{10.2312:pg.20161332,
booktitle = {Pacific Graphics Short Papers},
editor = {Eitan Grinspun and Bernd Bickel and Yoshinori Dobashi},
title = {{Interactive Multicut Video Segmentation}},
author = {Levinkov, Evgeny and Tompkin, James and Bonneel, Nicolas and Kirchhoff, Steffen and Andres, Bjoern and Pfister, Hanspeter},
year = {2016},
publisher = {The Eurographics Association},
ISSN = {-},
ISBN = {978-3-03868-024-6},
DOI = {10.2312/pg.20161332}
}