Skip to Main content Skip to Navigation
Journal articles

Blind video temporal consistency

Abstract : Extending image processing techniques to videos is a non-trivial task; applying processing independently to each video frame often leads to temporal inconsistencies, and explicitly encoding temporal consistency requires algorithmic changes. We describe a more general approach to temporal consistency. We propose a gradient-domain technique that is blind to the particular image processing algorithm. Our technique takes a series of processed frames that suffers from flickering and generates a temporally-consistent video sequence. The core of our solution is to infer the temporal regularity from the original unprocessed video, and use it as a temporal consistency guide to stabilize the processed sequence. We formally characterize the frequency properties of our technique, and demonstrate , in practice, its ability to stabilize a wide range of popular image processing techniques including enhancement and stylization of color and tone, intrinsic images, and depth estimation.
Document type :
Journal articles
Complete list of metadata

Cited literature [40 references]  Display  Hide  Download
Contributor : Nicolas Bonneel <>
Submitted on : Thursday, January 28, 2016 - 4:38:27 PM
Last modification on : Tuesday, June 1, 2021 - 2:08:08 PM
Long-term archiving on: : Friday, November 11, 2016 - 6:55:15 PM


Files produced by the author(s)



Nicolas Bonneel, James Tompkin, Kalyan Sunkavalli, Deqing Sun, Sylvain Paris, et al.. Blind video temporal consistency. ACM Transactions on Graphics, Association for Computing Machinery, 2015, 34 (6), pp.196:1--196:9. ⟨10.1145/2816795.2818107⟩. ⟨hal-01264081⟩



Record views


Files downloads