Abstract: In one embodiment, a method includes receiving at least two images captured by one or more cameras, wherein a first image of the at least two images has a subject and a second image of the at least two images comprises a perspective of the geographic location that is different than the first image; identifying an object that is common to the at least two images; computing a difference in perspective between the images that is based on a difference in size and shape between the object in the first image and the object in the second image; generating, based on the difference in perspective, an animation of a transition from the first image to the second image, wherein the animation comprises both the first image and the second image, and wherein the animation adds a modified version of the subject to the second image.

Abstract: In one embodiment, a method includes receiving at least two images captured by one or more cameras, wherein a first image of the at least two images has a subject and a second image of the at least two images comprises a perspective of the geographic location that is different than the first image; identifying an object that is common to the at least two images; computing a difference in perspective between the images that is based on a difference in size and shape between the object in the first image and the object in the second image; generating, based on the difference in perspective, an animation of a transition from the first image to the second image, wherein the animation comprises both the first image and the second image, and wherein the animation adds a modified version of the subject to the second image.

Abstract: A social semantic network provides for the efficient distribution of digital objects between users of that network. People in the network are connected by labeled edges that define relationships. Any person can create content in the form of particles, and by labeling that content, can determine how that content is distributed through the network. Labeled particles travel through each node in the network based on comparisons of the particle label with each edge label when exiting that node. Propagation can be controlled by the person at each node through which the particle travels or, alternatively, the system can be adapted to propagate particles one or two nodes at a time. Thus, a decentralized push-based system for distributing content is achieved without extensive regulation of that which is “appropriate” for consumers.