Name
Abstract | ||
|---|---|---|
Proposing digital image forensic approaches for linking a suspected image to its source is of particular interest nowadays, as they can be useful to link the ownership of an investigated image with sensitive content and even help to spot image manipulations. In this paper, we propose a data-driven based solution composed of processing the output of two Convolutional Neural Networks based on the Inception philosophy. We show the effectiveness of the proposed model for the difficult problem of camera model identification, considering high-resolution images and also small patches. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/WIFS.2018.8630774 | 2018 IEEE International Workshop on Information Forensics and Security (WIFS) |
Keywords | Field | DocType |
Inception-based data-driven ensemble approach,camera model identification,high-resolution images,Inception philosophy,Convolutional Neural Networks,data-driven based solution,image manipulations,sensitive content,investigated image,suspected image,digital image forensic approaches | Computer vision,Data-driven,Computer science,Convolutional neural network,Digital image,Artificial intelligence,System identification | Conference |
ISSN | ISBN | Citations |
2157-4766 | 978-1-5386-6537-4 | 0 |
PageRank | References | Authors |
0.34 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anselmo Castelo Branco Ferreira | 1 | 47 | 5.53 |
| han chen | 2 | 40 | 6.31 |
| Bin Li | 3 | 524 | 29.42 |
| Jiwu Huang | 4 | 2784 | 178.51 |