Abstract | ||
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Digital Video Forensics is getting a growing interest from the Multimedia research community, as the need for methods to validate the authenticity of a video content is increasing with the number of videos freely available to the digital users. Unlike Digital Image Forensics, to our knowledge, there are not standard datasets to test video forgery detection techniques. In this paper we present a new tool to support the users in creating datasets of tampered videos. We furthermore present our own dataset and we discuss some remarks about how to create forgeries difficult to be detected by an observer, to the naked eye. |
Year | DOI | Venue |
---|---|---|
2015 | 10.1007/978-3-319-23234-8_61 | IMAGE ANALYSIS AND PROCESSING - ICIAP 2015, PT II |
Keywords | Field | DocType |
Copy move forgery, Video forensics, Object tracking | Digital image forensics,Computer vision,Digital video,Computer science,Video tracking,Forgery detection,Artificial intelligence,Observer (quantum physics) | Conference |
Volume | ISSN | Citations |
9280 | 0302-9743 | 2 |
PageRank | References | Authors |
0.39 | 10 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Edoardo Ardizzone | 1 | 239 | 40.79 |
Giuseppe Mazzola | 2 | 39 | 6.54 |