Abstract: A non-transitory computer readable medium for detection of objects of one or more given classes, the non-transitory computer readable medium stores instructions for: performing an aerial images based (AIB) detection to find multiple object locations; wherein the performing of the AIB detection comprises applying an AIB detection machine learning process on aerial images; performing a ground-level based (GLB) detection of the objects, based on the multiple object locations; wherein the performing of the GLB detection comprises applying a GLB detection machine learning process on ground-level images; and classifying, by a classification machine learning process, objects captured in the ground-level images to a plurality of classes, wherein the plurality of classes comprise the one or more given classes; and responding to the classifying, when finding one or more objects of the one or more given classes.

Abstract: A method for protecting user privacy in an online social network, comprising the steps of defining, for a given primary user of an online social network who is authorized to post multimedia information in an account of the social network, a personal profile type that characterizes a level of desired privacy and that is selected from a group of predetermined profile types; defining a personal profile type selected from the group for each of a plurality of secondary users who are interested in accessing posted multimedia information of the primary user while functioning as a friend thereof; and denying a request for friendship initiated by one of the plurality of secondary users when the profile type of the primary user and of the one of the plurality of secondary users are incompatible as defined by predetermined rules, that may be stored in the privacy setting module.