A Progressive Tri-level Segmentation Approach for Topology-Change-Aware Video Matting

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dc.contributor.authorJu, Jinlongen_US
dc.contributor.authorWang, Jueen_US
dc.contributor.authorLiu, Yebinen_US
dc.contributor.authorWang, Haoqianen_US
dc.contributor.authorDai, Qionghaien_US
dc.contributor.editorB. Levy, X. Tong, and K. Yinen_US
dc.date.accessioned2015-02-28T16:12:38Z
dc.date.available2015-02-28T16:12:38Z
dc.date.issued2013en_US
dc.description.abstractPrevious video matting approaches mostly adopt the ''binary segmentation + matting'' strategy, i.e., first segment each frame into foreground and background regions, then extract the fine details of the foreground boundary using matting techniques. This framework has several limitations due to the fact that binary segmentation is employed. In this paper, we propose a new supervised video matting approach. Instead of applying binary segmentation, we explicitly model segmentation uncertainty in a novel tri-level segmentation procedure. The segmentation is done progressively, enabling us to handle difficult cases such as large topology changes, which are challenging to previous approaches. The tri-level segmentation results can be naturally fed into matting techniques to generate the final alpha mattes. Experimental results show that our system can generate high quality results with less user inputs than the state-of-the-art methods.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.identifier.doi10.1111/cgf.12232en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12232en_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.titleA Progressive Tri-level Segmentation Approach for Topology-Change-Aware Video Mattingen_US
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