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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, Graz; 2012-08-28 - 2012-08-31; in: "Proc. of the Joint 34th DAGM and 36th OAGM Symposium", Springer, LNCS 7476 (2012), ISSN: 0302-9743; 418 - 427.

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 [12] 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 [12] 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.

segmentation;matting

http://dx.doi.org/10.1007/978-3-642-32717-9_42