RepSnapping: Efficient Image Cutout for Repeated Scene Elements

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dc.contributor.authorHuang, Huaen_US
dc.contributor.authorZhang, Leien_US
dc.contributor.authorZhang, Hong-Chaoen_US
dc.contributor.editorBing-Yu Chen, Jan Kautz, Tong-Yee Lee, and Ming C. Linen_US
dc.date.accessioned2015-02-27T16:14:11Z
dc.date.available2015-02-27T16:14:11Z
dc.date.issued2011en_US
dc.description.abstractRepeated scene elements are copious and ubiquitous in natural images. Cutout of those repeated elements usually involves tedious and laborious user interaction by previous image segmentation methods. In this paper, we present RepSnapping, a novel method oriented to cutout of repeated scene elements with much less user interaction. By exploring inherent similarity between repeated elements, a new optimization model is introduced to thread correlated elements in the segmentation procedure. The model proposed here enables efficient solution using maxflow/ min cut on an extended graph. Experiments indicate that RepSnapping facilitates cutout of repeated elements better than the state-of-the-art interactive image segmentation and repetition detection methods.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2011.02044.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.titleRepSnapping: Efficient Image Cutout for Repeated Scene Elementsen_US
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