VISION: a video and image dataset for source identification

VISION: a video and image dataset for source identification

Abstract Forensic research community keeps proposing new techniques to analyze digital images and videos. However, the performance of proposed tools are usually tested on data that are far from reality in terms of resolution, source device, and processing history. Remarkably, in the latest years, po...

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Bibliographic Details
Main Authors: Dasara Shullani, Marco Fontani, Massimo Iuliani, Omar Al Shaya, Alessandro Piva
Format: Article
Language:English
Published: SpringerOpen 2017-10-01
Series:EURASIP Journal on Information Security
Subjects:
Dataset multimedia forensics
Image forensics
Video forensics
Source identification
Online Access:http://link.springer.com/article/10.1186/s13635-017-0067-2

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http://link.springer.com/article/10.1186/s13635-017-0067-2

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