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Multimedia forensics.
In the multimedia forensics field, only few approaches in multimedia forensics considered correlation among sources.
Her main research interests focus on multimedia forensics and image processing.
The goal of this paper is to propose the VISION dataset as a contribution to the development of multimedia forensics.
In multimedia forensics, the detection of forgery on joint photographic experts group (JPEG) images is an interesting and challenging work.
His main research activities, witnessed by several publications, include digital image processing, image and video digital watermarking, multimedia forensics.
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Multimedia forensic is a set of technologies to overcome the limitations of human-based forgery analysis.
There are various types of image tampering processes which have been considered in the multimedia forensic field.
In this paper, we propose a new image and video dataset useful for benchmarking multimedia forensic tools.
One of the first datasets adopted in the multimedia forensic community is the UCID database [10], originally designed for the evaluation of image retrieval techniques.
These facts pose new challenges to the forensic community: for example, most modern cameras feature digital stabilization, that is proved to severely hinder the performance of video source identification technologies; moreover, the strong re-compression enforced by SMPs during upload threatens the reliability of multimedia forensic tools.
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