PhotoRecomposer: Interactive Photo Recomposition by Cropping (TVCG Spotlight Article for Oct. 2018)

  • Yuan Liang ,
  • Xiting Wang ,
  • Song-Hai Zhang ,
  • Shi-Min Hu ,
  • Shixia Liu

IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG) |

Published by IEEE

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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-distancebased online metric learning algorithm to support the interactive adjustment of the composition distance based on user preferences. To better convey the compositions of a large number of example photos, we have developed a multi-level, example photo layout method to balance multiple factors such as compactness, aspect ratio, composition distance, stability, and overlaps. By introducing an
EulerSmooth-based straightening method, the composition of each photos is clearly displayed. The effectiveness and usefulness of the method has been demonstrated by the experimental results, user study, and case studies.