• DocumentCode
    3672134
  • Title

    Region-based temporally consistent video post-processing

  • Author

    Xuan Dong;Boyan Bonev; Yu Zhu;Alan L. Yuille

  • Author_Institution
    Tsinghua University, China
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    714
  • Lastpage
    722
  • Abstract
    We study the problem of temporally consistent video post-processing. Previous post-processing algorithms usually either fail to keep high fidelity or fail to keep temporal consistency of output videos. In this paper, we observe experimentally that many image/video enhancement algorithms enforce a spatially consistent prior on the enhancement. More precisely, within a local region, the enhancement is consistent, i.e., pixels with the same RGB values will get the same enhancement values. Using this prior, we segment each frame into several regions and temporally-spatially adjust the enhancement of regions of different frames, taking into account fidelity, temporal consistency and spatial consistency. User study, objective measurement and visual quality comparisons are conducted. The experimental results demonstrate that our output videos can keep high fidelity and temporal consistency at the same time.
  • Keywords
    "Image reconstruction","Image color analysis","Streaming media","Image segmentation","Algorithm design and analysis","Image enhancement","Software algorithms"
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2015.7298671
  • Filename
    7298671