Skip to Main content Skip to Navigation
New interface
Conference papers

Hierarchical Representation of Videos with Spatio-Temporal Fibers

Ratnesh Kumar 1 Guillaume Charpiat 1 Monique Thonnat 1 
1 STARS - Spatio-Temporal Activity Recognition Systems
CRISAM - Inria Sophia Antipolis - Méditerranée
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.
Document type :
Conference papers
Complete list of metadata

Cited literature [19 references]  Display  Hide  Download
Contributor : Ratnesh Kumar Connect in order to contact the contributor
Submitted on : Saturday, February 22, 2014 - 5:13:42 PM
Last modification on : Saturday, June 25, 2022 - 11:11:56 PM
Long-term archiving on: : Thursday, May 22, 2014 - 10:35:57 AM


Files produced by the author(s)


  • HAL Id : hal-00911012, version 1



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⟩



Record views


Files downloads