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Conference Papers Year : 2014

Hierarchical Representation of Videos with Spatio-Temporal Fibers

Abstract

We propose a new representation of videos, as spatio- temporal fibers. These fibers are clusters of trajectories that are meshed spatially in the image domain. They form a hier- archical partition of the video into regions that are coherent in time and space. They can be seen as dense, spatially- organized, long-term optical flow. Their robustness to noise and ambiguities is ensured by taking into account the relia- bility of each source of information. As fibers allow users to handle easily moving objects in videos, they prove useful for video editing, as demonstrated in a video inpainting example.
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Dates and versions

hal-00911012 , version 1 (22-02-2014)

Identifiers

  • HAL Id : hal-00911012 , version 1

Cite

Ratnesh Kumar, Guillaume Charpiat, Monique Thonnat. Hierarchical Representation of Videos with Spatio-Temporal Fibers. IEEE Winter Conference on Applications of Computer Vision, Mar 2014, Colorado, United States. ⟨hal-00911012⟩

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