Data-driven adaptive history for image editing

@inproceedings{Chen2016DatadrivenAH,
  title={Data-driven adaptive history for image editing},
  author={Hsiang-Ting Chen and Li-Yi Wei and Bj{\"o}rn Hartmann and Maneesh Agrawala},
  booktitle={I3D},
  year={2016}
}
Digital image editing is usually an iterative process; users repetitively perform short sequences of operations, as well as undo and redo using history navigation tools. In our collected data, undo, redo and navigation constitute about 9 percent of the total commands and consume a significant amount of user time. Unfortunately, such activities also tend to be tedious and frustrating, especially for complex projects. We address this crucial issue by adaptive history, a UI mechanism that groups… CONTINUE READING

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