Semi-automated video morphing

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

7 Scopus Citations
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Author(s)

  • Jing Liao
  • Rodolfo S. Lima
  • Diego Nehab
  • Hugues Hoppe
  • Pedro V. Sander

Detail(s)

Original languageEnglish
Pages (from-to)51-60
Journal / PublicationComputer Graphics Forum
Volume33
Issue number4
Online published15 Jul 2014
Publication statusPublished - Jul 2014
Externally publishedYes

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. 

Research Area(s)

  • Categories and Subject Descriptors (according to ACM CCS), I.3.0 [Computer Graphics]: General - Video Processing

Citation Format(s)

Semi-automated video morphing. / Liao, Jing; Lima, Rodolfo S.; Nehab, Diego; Hoppe, Hugues; Sander, Pedro V.

In: Computer Graphics Forum, Vol. 33, No. 4, 07.2014, p. 51-60.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review