Semi-Automated Video Morphing

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dc.contributor.authorLiao, Jingen_US
dc.contributor.authorLima, Rodolfo S.en_US
dc.contributor.authorNehab, Diegoen_US
dc.contributor.authorHoppe, Huguesen_US
dc.contributor.authorSander, Pedro V.en_US
dc.contributor.editorWojciech Jarosz and Pieter Peersen_US
dc.date.accessioned2015-03-03T12:38:51Z
dc.date.available2015-03-03T12:38:51Z
dc.date.issued2014en_US
dc.description.abstractWe explore creating smooth transitions between videos of different scenes. As in traditional image morphing, good spatial correspondence is crucial to prevent ghosting, especially at silhouettes. Video morphing presents added challenges. Because motions are often unsynchronized, temporal alignment is also necessary. Applying morphing to individual frames leads to discontinuities, so temporal coherence must be considered. Our approach is to optimize a full spatiotemporal mapping between the two videos. We reduce tedious interactions by letting the optimization derive the fine-scale map given only sparse user-specified constraints. For robustness, the optimization objective examines structural similarity of the video content. We demonstrate the approach on a variety of videos, obtaining results using few explicit correspondences.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12412en_US
dc.publisherThe Eurographics Association and John Wiley and Sons Ltd.en_US
dc.titleSemi-Automated Video Morphingen_US
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33-Issue 4
EGSR14: 25th Eurographics Symposium on Rendering