%0 Conference Proceedings
%T Image and Video Phylogeny Reconstruction
%D 2017
%8 Oct. 17-20, 2017
%A Costa, Filipe de Oliveira,
%A Dias, Zanoni,
%A Rocha, Anderson,
%@affiliation Federal University of Minas Gerais (UFMG)
%@affiliation University of Campinas (UNICAMP)
%@affiliation University of Campinas (UNICAMP)
%E Torchelsen, Rafael Piccin,
%E Nascimento, Erickson Rangel do,
%E Panozzo, Daniele,
%E Liu, Zicheng,
%E Farias, Mylène,
%E Viera, Thales,
%E Sacht, Leonardo,
%E Ferreira, Nivan,
%E Comba, João Luiz Dihl,
%E Hirata, Nina,
%E Schiavon Porto, Marcelo,
%E Vital, Creto,
%E Pagot, Christian Azambuja,
%E Petronetto, Fabiano,
%E Clua, Esteban,
%E Cardeal, Flávio,
%B Conference on Graphics, Patterns and Images, 30 (SIBGRAPI)
%C Niterói, RJ
%S Proceedings
%I Sociedade Brasileira de Computação
%J Porto Alegre
%K Forensics, Multimedia Phylogeny, Dissimilarity Calculation.
%X AbstractIn this thesis, we designed and developed approaches for solving Image and Video Phylogeny problem, in which we aim at finding the ancestral relationship between the near duplicates and the original source of images and videos. For images, we proposed approaches to deal with the phylogeny problem considering two main points: (i) the forest reconstruction, an important task when we consider scenarios in which there is a set of semantically similar images, but generated by different sources or at different times; and (ii) new measures for dissimilarity calculation between near-duplicates, given that it directly impacts the quality of the phylogeny reconstruction. For video phylogeny, we developed a new approach to temporally align two video sequences before calculating the dissimilarity between them as, in real-world conditions, a pair of videos can be temporally misaligned, one video can have some frames added or removed and compression can also take place, for instance.
%@language en
%3 ctd-filipe-costa-camera-ready.pdf