Talks and Poster Presentations (with Proceedings-Entry):
N. Brosch, A. Hosni, C. Rhemann, M. Gelautz:
"Spatio-temporally Coherent Interactive Video Object Segmentation via Efficient Filtering";
Poster: Joint 34th DAGM and 36th OAGM Symposium,
- 2012-08-31; in: "Proc. of the Joint 34th DAGM and 36th OAGM Symposium",
In this paper we propose a fast, interactive object segmentation and matting framework for videos that allows users to extract objects from a video using only a few foreground scribbles. Our approach is based on recent work  that obtains high-quality image segmentations by smoothing the likelihood of a color model with a fast edge-preserving filter. The previous approach was originally intended for single static images and does not achieve temporally coherent segmentations for videos. Our main contribution is to extend the approach of  to the temporal domain. Our results are spatially and temporally coherent segmentations, in which the borders of the foreground object are aligned with spatio-temporal color edges in the video. The obtained binary segmentation can be further refined in a temporally coherent and equally efficient alpha matting step. Quantitative and qualitative evaluations show that our extension significantly reduces flickering in the video segmentations.
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Created from the Publication Database of the Vienna University of Technology.