Image cropping suggestion using multiple saliency maps

摘要

Image cropping suggestion using multiple saliency maps is described. In one or more implementations, component scores, indicative of visual characteristics established for visually-pleasing croppings, are computed for candidate image croppings using multiple different saliency maps. The visual characteristics on which a candidate image cropping is scored may be indicative of its composition quality, an extent to which it preserves content appearing in the scene, and a simplicity of its boundary. Based on the component scores, the croppings may be ranked with regard to each of the visual characteristics. The rankings may be used to cluster the candidate croppings into groups of similar croppings, such that croppings in a group are different by less than a threshold amount and croppings in different groups are different by at least the threshold amount. Based on the clustering, croppings may then be chosen, e.g., to present them to a user for selection.

主权项

1. A method implemented by a computing device, the method comprising:
generating multiple different types of saliency maps of a scene, including a base saliency map computed from color model information describing the scene and at least one other type of saliency map; computing component scores for candidate image croppings of the scene based on the base saliency map and the at least one other type of saliency map, the component scores indicative of visual characteristics established for visually pleasing croppings; and choosing one or more image croppings from the candidate image croppings using the component scores.