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We extend the concept of optical flow to a dynamic non-Euclidean setting. Optical flow is traditionally computed from a sequence of flat images. It is the purpose of this paper to introduce variational motion estimation for images that are defined on an evolving surface. Volumetric microscopy images depicting a live zebrafish embryo serve as both biological(More)
We propose a number of variational regularisation methods for the estimation and decomposition of motion fields on the 2-sphere. While motion estimation is based on the optical flow equation, the presented decomposition models are motivated by recent trends in image analysis. In particular we treat u + v decomposition as well as hierarchical decomposition.(More)
We extend the concept of optical flow with spatiotemporal regularisation to a dynamic non-Euclidean setting. Optical flow is traditionally computed from a sequence of flat images. The purpose of this paper is to introduce variational motion estimation for images that are defined on an evolving surface. Volumetric microscopy images depicting a live zebrafish(More)
This paper discusses an approach for distributing a large number of multimedia (video) titles to users located at the leaves of a tree network. The proposed approach is to build multicast trees, over which the content files are sent to user disks, followed by delayed local playback of the content. The work concentrates on exact and heuristic methods for an(More)
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