A sparse control model for image and video editing
Li Xu, Qiong Yan, Jiaya Jia
In ACM Transactions on Graphics, 32(6), November 2013.
Abstract: It is common that users draw strokes, as control samples, to modify color, structure, or tone of a picture. We discover inherent limitation of existing methods for their implicit requirement on where and how the strokes are drawn, and present a new system that is principled on minimizing the amount of work put in user interaction. Our method automatically determines the influence of edit samples across the whole image jointly considering spatial distance, sample location, and appearance. It greatly reduces the number of samples that are needed, while allowing for a decent level of global and local manipulation of resulting effects and reducing propagation ambiguity. Our method is broadly beneficial to applications adjusting visual content.
Article URL: http://dx.doi.org/10.1145/2508363.2508404
BibTeX format:
@article{Xu:2013:ASC,
  author = {Li Xu and Qiong Yan and Jiaya Jia},
  title = {A sparse control model for image and video editing},
  journal = {ACM Transactions on Graphics},
  volume = {32},
  number = {6},
  pages = {197:1--197:10},
  month = nov,
  year = {2013},
}
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