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Reference TypeConference Paper (Conference Proceedings)
Last Update2017:
Metadata Last Update2020: administrator
Citation KeyCostaDiasRoch:2017:ImViPh
TitleImage and Video Phylogeny Reconstruction
DateOct. 17-20, 2017
Access Date2021, Jan. 21
Number of Files1
Size1844 KiB
Context area
Author1 Costa, Filipe de Oliveira
2 Dias, Zanoni
3 Rocha, Anderson
Affiliation1 Federal University of Minas Gerais (UFMG)
2 University of Campinas (UNICAMP)
3 University of Campinas (UNICAMP)
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ
Book TitleProceedings
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Tertiary TypeMaster's or Doctoral Work
History2017-09-04 17:59:43 :: -> administrator ::
2020-02-20 22:06:47 :: administrator -> :: 2017
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
KeywordsForensics, Multimedia Phylogeny, Dissimilarity Calculation.
AbstractAbstractIn 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.
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Next Higher Units8JMKD3MGPAW/3PJT9LS
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