Semi-automated video morphing
Eurographics Symposium on Rendering, 2014.
Transition across two videos using optimized spatiotemporal alignment.
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 interaction 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
No hindsights yet.