![]() ![]() To all available techniques based on the video stream analysis or The proposed approaches are proved to be valuable alsoįor requiring an extremely small computational cost as opposed Videos taken with modern smartphones from major brands and We tested and proved theĮffectiveness of both applications on a dataset composed by 578 More approved by the forensic community as the appropriate Noticeably, the latter application relies on the likelihood-ratio framework, which is more and Of such method: the first one deals with video integrity verification, based on the dissimilarity between a reference and a queryįile container the second one focuses on the identification andĬlassification of the source device brand, based on the analysis ofĬontainers structure and content. ![]() Video file containers, and present two main forensic applications In this paper we introduce a method for unsupervised analysis of On manual comparison of video container structure and content, Anyway, existing contributions in this field are based Investigate video life cycle based on the analysis of the videoĬontainer. Most of the existing methods rely on the analysis of the videoĭata stream, recently, a new line of research was introduced to To verify the authenticity and the integrity of digital videos. Massimo Iuliani, Dasara Shullani, Marco Fontani, Saverio Meucci, and Alessandro Piva, Senior Member, IEEEĪbstract-Video Forensics keeps developing new technologies SUBMITTED TO IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITYĪ Video Forensic Framework for the Unsupervised Transactions on Information Forensics and Security ![]() Content may change prior to final publication. ![]() This article has been accepted for publication in a future issue of this journal, but has not been fully edited. ![]()
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