Multiple parenting identification in image phylogeny

Image phylogeny deals with tracing back parent-child relationships among near duplicates, images that share the same semantic content. This approach results in a visual structure showing the inheritance of semantic content among images, called phylogeny tree. In this paper, we extend upon the image phylogeny’s original formulation, which considers that an image may inherit content from only a single parent, to deal with situations whereby an image may inherit it from multiple different parents. Our objective is to find the multiple parenting relationships in a set of images, a problem which we refer to as multiple parenting phylogeny. The proposed solution works by first identifying near-duplicate groups and reconstructing their phylogenies; then among the found groups we determine the one(s) representing the composition images; finally, we detect the parenting relations between those compositions and the source images used to create them.