Image Cropping Suggestion Using Multiple Saliency Maps

A method implemented by a computing device, the method comprising:

• obtaining input to initiate cropping of a scene;
• computing multiple different saliency maps from an image of the scene;
• and
• generating one or more suggested image croppings of the scene based on rankings assigned to multiple candidate croppings that reflect an assessment of:
• composition quality of the multiple candidate croppings, the assessment of the composition quality performed using a first combination of the multiple different saliency maps;
• degrees of preservation of content appearing in the scene for the multiple candidate croppings, the assessment of the degrees of preservation of content performed using a second combination of the multiple different saliency maps;
• and
• boundary simplicity of the multiple candidate croppings, the assessment of the boundary simplicity performed using a third combination of the multiple different saliency maps.

A system comprising:

• one or more modules implemented at least partially in hardware, the one or more modules configured to perform operations comprising:
• displaying, via a user interface, one or more suggested croppings of a scene, the suggested croppings being selected from a plurality of candidate croppings for suggestion based on selection of the suggested croppings from multiple clusters of croppings, each of the clusters having croppings that are different from croppings in the other clusters by at least a threshold amount;
• and
• receiving, via the user interface, a selection of one of the one or more suggested croppings to apply a selected cropping of the scene.