Automatic Image Cropping and Selection using Saliency: an Application to Historical Manuscripts

Abstract

Automatic image cropping techniques are particularly important to improve the visual quality of cropped images and can be applied to a wide range of applications such as photo-editing, image compression, and thumbnail selection. In this paper, we propose a saliency-based image cropping method which produces significant cropped images by only relying on the corresponding saliency maps. Experiments on standard image cropping datasets demonstrate the benefit of the proposed solution with respect to other cropping methods. Moreover, we present an image selection method that can be effectively applied to automatically select the most representative pages of historical manuscripts thus improving the navigation of historical digital libraries.

Recommended citation

@inproceedings{cornia2018automatic,
  title={Automatic image cropping and selection using saliency: An application to historical manuscripts},
  author={Cornia, Marcella and Pini, Stefano and Baraldi, Lorenzo and Cucchiara, Rita},
  booktitle={Italian Research Conference on Digital Libraries (IRCDL)},
  pages={169--179},
  year={2018},
  organization={Springer}
}