In some examples, the weights, the priorities, and the object types of the table may be predefined. In some examples, the weights, the priorities, and the object types may adjust over time based upon learning from actions of a user. For example, if a user predominately captures images that include a particular object, that object may be assigned a higher priority. For another example, the weights may change based upon one or more actions of a user in relation to a number of images of a similar scene. For example, based upon which images are deleted, the priority weights may be updated to the preferences of the user. Similar to deleting, images that are shared with others may indicate that the one or more settings for that image were optimal.
Referring back to