Logo des Repositoriums
 

Unit-Selection Based Facial Video Manipulation Detection

Kurzanzeige
dc.contributor.authorNielsen, V
dc.contributor.authorKhodabakhsh, Ali
dc.contributor.authorBusch, Christoph
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.contributor.editorDantcheva, Antitza
dc.contributor.editorRaja, Kiran
dc.contributor.editorRathgeb, Christian
dc.contributor.editorUhl, Andreas
dc.date.accessioned2020-09-16T08:25:50Z
dc.date.available2020-09-16T08:25:50Z
dc.date.issued2020
dc.description.abstractAdvancements in video synthesis technology have caused major concerns over the authenticity of audio-visual content. A video manipulation method that is often overlooked is inter-frame forgery, in which segments (or units) of an original video are reordered and rejoined while cut-points are covered with transition effects. Subjective tests have shown the susceptibility of viewers in mistaking such content as authentic. In order to support research on the detection of such manipulations, we introduce a large-scale dataset of 1000 morph-cut videos that were generated by automation of the popular video editing software Adobe Premiere Pro. Furthermore, we propose a novel differential detection pipeline and achieve an outstanding frame-level detection accuracy of 95%.en
dc.identifier.isbn978-3-88579-700-5
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34348
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-306
dc.subjectMorph-cut
dc.subjectVideo Manipulation
dc.subjectInterframe Forgery
dc.subjectDataset
dc.subjectVideo Manipulation Detection
dc.subjectVideo Authenticity.
dc.titleUnit-Selection Based Facial Video Manipulation Detectionen
dc.typeText/Conference Paper
gi.citation.endPage96
gi.citation.publisherPlaceBonn
gi.citation.startPage87
gi.conference.date16.-18. September 2020
gi.conference.locationInternational Digital Conference
gi.conference.sessiontitleRegular Research Papers

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
BIOSIG_2020_paper_6_update.pdf
Größe:
1.72 MB
Format:
Adobe Portable Document Format
Herunterladen

Sammlungen

P306 - BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group