PhotoRecomposer: Interactive Photo Recomposition by Cropping

@article{Liang2018PhotoRecomposerIP,
  title={PhotoRecomposer: Interactive Photo Recomposition by Cropping},
  author={Yuan Liang and Steven D Paget and Song-Hai Zhang and Shimin Hu and Shixia Liu},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2018},
  volume={24},
  pages={2728-2742}
}
We present a visual analysis method for interactively recomposing a large number of photos based on example photos with high-quality composition. The recomposition method is formulated as a matching problem between photos. The key to this formulation is a new metric for accurately measuring the composition distance between photos. We have also developed an earth-mover-distance-based online metric learning algorithm to support the interactive adjustment of the composition distance based on user… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-3 of 3 extracted citations

A Semantic-based Method for Visualizing Large Image Collections.

IEEE transactions on visualization and computer graphics • 2018
View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-10 of 56 references

A simple approach for boundary improvement of Euler diagrams

P. Simonetto, D. Archambault, C. Scheideg
IEEE Trans. Vis. Comput. Graph., vol. 22, no. 1, pp. 678–687, Jan. 2016. • 2016
View 7 Excerpts
Highly Influenced

Browsing Large Image Datasets through Voronoi Diagrams

IEEE Transactions on Visualization and Computer Graphics • 2010
View 5 Excerpts
Highly Influenced

Dealing with Multiple Requirements in Geometric Arrangements

IEEE Transactions on Visualization and Computer Graphics • 2016
View 4 Excerpts
Highly Influenced

Optimizing Photo Composition

Comput. Graph. Forum • 2010
View 5 Excerpts
Highly Influenced

Normalized Mutual Information Feature Selection

IEEE Transactions on Neural Networks • 2009
View 3 Excerpts
Highly Influenced

Automatic Image Cropping: A Computational Complexity Study

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2016
View 2 Excerpts