227 citations · 994 across the 36 of their papers we have counts for
7 papers · 1 filter
TIMIT-TTS: a Text-to-Speech Dataset for Multimodal Synthetic Media Detection
Davide Salvi, Brian Hosler, Paolo Bestagini +2
With the rapid development of deep learning techniques, the generation and counterfeiting of multimedia material are becoming increasingly straightforward to perform. At the same t…
Forensic Analysis of Video Files Using Metadata
Ziyue Xiang, János Horváth, Sriram Baireddy +3
The unprecedented ease and ability to manipulate video content has led to a rapid spread of manipulated media. The availability of video editing tools greatly increased in recent y…
DIPPAS: A Deep Image Prior PRNU Anonymization Scheme
Francesco Picetti, Sara Mandelli, Paolo Bestagini +2
Source device identification is an important topic in image forensics since it allows to trace back the origin of an image. Its forensics counter-part is source device anonymizatio…
A Modified Fourier-Mellin Approach for Source Device Identification on Stabilized Videos
Sara Mandelli, Fabrizio Argenti, Paolo Bestagini +3
To decide whether a digital video has been captured by a given device, multimedia forensic tools usually exploit characteristic noise traces left by the camera sensor on the acquir…
Facing Device Attribution Problem for Stabilized Video Sequences
Sara Mandelli, Paolo Bestagini, Luisa Verdoliva +1
A problem deeply investigated by multimedia forensics researchers is the one of detecting which device has been used to capture a video. This enables to trace down the owner of a v…
Hybrid coding of visual content and local image features
Luca Baroffio, Matteo Cesana, Alessandro Redondi +2
Distributed visual analysis applications, such as mobile visual search or Visual Sensor Networks (VSNs) require the transmission of visual content on a bandwidth-limited network, f…
Coding local and global binary visual features extracted from video sequences
Luca Baroffio, Antonio Canclini, Matteo Cesana +3
Binary local features represent an effective alternative to real-valued descriptors, leading to comparable results for many visual analysis tasks, while being characterized by sign…