Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
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;
28.08.2012
- 31.08.2012; in: "Proc. of the Joint 34th DAGM and 36th OAGM Symposium",
Springer,
LNCS 7476
(2012),
ISSN: 0302-9743;
S. 418
- 427.
Kurzfassung englisch:
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.
Schlagworte:
segmentation;matting
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1007/978-3-642-32717-9_42
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.