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Blind video temporal consistency

ACM transactions on graphics, 2015-11, Vol.34 (6), p.196:1-196:9 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0730-0301 ;EISSN: 1557-7368 ;DOI: 10.1145/2816795.2818107

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  • Title:
    Blind video temporal consistency
  • Author: Bonneel, Nicolas ; Tompkin, James ; Sunkavalli, Kalyan ; Sun, Deqing ; Paris, Sylvain ; Pfister, Hanspeter
  • Subjects: Computer Science ; Image Processing
  • Is Part Of: ACM transactions on graphics, 2015-11, Vol.34 (6), p.196:1-196:9
  • Description: 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.
  • Publisher: Association for Computing Machinery
  • Language: English
  • Identifier: ISSN: 0730-0301
    EISSN: 1557-7368
    DOI: 10.1145/2816795.2818107
  • Source: Hyper Article en Ligne (HAL) (Open Access)
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