Learning crop regions for content-aware generation of thumbnail images

  title={Learning crop regions for content-aware generation of thumbnail images},
  author={Lyndon Kennedy and Roelof van Zwol and Nicolas Torzec and Belle L. Tseng},
We propose a model for automatically cropping images based on a diverse set of content and spatial features. We approach this by extracting pixel-level features and aggregating them over possible crop regions. We then learn a regression model to predict the quality of the crop regions, via the degree to which they would overlaps with human-provided crops from these input features. Candidate images can then be cropped based an exhaustive sweep over candidate crop regions, where each region is… CONTINUE READING


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