Distances in multimedia phylogeny

The dissimilarity between two objects determines how far apart they are with respect to each other. In this paper, Marina Oikawa, Zanoni Dias, Anderson Rocha and Siome Goldenstein provide an overview of the distance concept in multimedia phylogeny, a novel research field that aims at discovering the phylogenetic relationships among digital objects that belong to the same population.

With applications in digital forensics, copyright enforcement, and security, this paper presents a proper and well-designed dissimilarity approach, which is decisive for differentiating whether two multimedia objects are related and, also, the directionality of such relationship.

Mapping image I2 into image I1’s domain. Robust feature points are calculated for each image, and used for finding the homography matrix relating them. Once the mapping is performed, both images can be compared pixel-wise within the region they overlap.

Mapping image I2 into image I1’s domain. Robust feature points are calculated for each image, and used for finding the homography matrix relating them. Once the mapping is performed, both images can be compared pixel-wise within the region they overlap.


Oikawa, M. A., Dias, Z., Rocha, A. and Goldenstein, S. (2015), Distances in multimedia phylogeny. International Transactions in Operational Research. doi:10.1111/itor.12235

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