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Video repairing under variable illumination using cyclic motions.

Jiaya Jia1, Yu-Wing Tai, Tai-Pang Wu

  • 1Department of Computer Science and Engineering, the Chinese University of Hong Kong, Shatin NT. leojia@cse.cuhk.edu.hk

IEEE Transactions on Pattern Analysis and Machine Intelligence
|April 28, 2006
PubMed
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This study introduces an automatic video repair system to synthesize missing pixels caused by occlusion or damage. The novel approach effectively restores static backgrounds and cyclic motions in uncalibrated videos, even with variable illumination.

Area of Science:

  • Computer Vision
  • Image Processing
  • Video Restoration

Background:

  • Occlusion and damage in videos lead to missing pixels, degrading visual quality.
  • Restoring these missing pixels is crucial for applications like video editing and archival.

Purpose of the Study:

  • To develop a complete, automatic system for synthesizing missing pixels in uncalibrated videos.
  • To address challenges posed by occluded backgrounds and cyclic motions.

Main Methods:

  • User-assisted video layer segmentation followed by automatic processing.
  • Decomposition into color and illumination videos.
  • Tensor voting for spatio-temporal consistency.
  • Image repairing for background synthesis.
  • Spatio-temporal alignment for motion inference.

Related Experiment Videos

Main Results:

  • Successful synthesis of missing pixels for both static backgrounds and cyclic motions.
  • Effective handling of videos with variable illumination and camera motion.
  • Demonstrated robustness on challenging video examples.

Conclusions:

  • The proposed system offers a robust solution for uncalibrated video repair.
  • It significantly enhances video quality by restoring occluded or damaged regions.
  • The method is applicable to diverse scenarios including dynamic camera movements.