Title
Semi-Automated Video Morphing
Abstract
We 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.
Year
DOI
Venue
2014
10.1111/cgf.12412
Comput. Graph. Forum
DocType
Volume
Issue
Journal
33
4
ISSN
Citations 
PageRank 
0167-7055
10
0.46
References 
Authors
21
5
Name
Order
Citations
PageRank
Jing Liao118225.81
Rodolfo S. Lima2593.81
Diego Nehab374342.58
Hugues Hoppe49563754.57
Pedro V. Sander5111163.92