This paper proposes a method for analyzing and synthesizing video sequences, specifically suited for image sequences of natural phenomena. We combine a low-dimensional representation of arbitrary image sequences and an image morphing technique to create realistic in-between images. The visualization based on the Isomap algorithm allows users to easily select parts of the video that have periodic character. From these segments, new sequences can be synthesized in realtime. To smooth transition artifacts between the reordered subsequences a Monge-Kantorovich based image morphing method is applied to interpolate in-between images. Our approach is useful for e.g. video key-frame animation, automatic looping or creating slow-motion sequences.
Timo Stich, Marcus A. Magnor