Name
Abstract | ||
|---|---|---|
A robust identification scheme for JPEG images is proposed in this paper. The aim is to robustly identify JPEG images that are generated from the same original image, under various compression conditions such as differences in compression ratios and initial quantization matrices. The proposed scheme does not provide any false negative matches in principle. In addition, secure features, which do not have any visual information, are used to achieve not only a robust identification scheme but also secure one. Conventional schemes can not avoid providing false negative matches under some compression conditions, and are required to manage a secret key for secure identification. The proposed scheme is applicable to the uploading process of images on social networks like Twitter for image retrieval and forensics. A number of experiments are carried out to demonstrate that the effectiveness of the proposed method. The proposed method outperforms conventional ones in terms of query performances, while keeping a reasonable security level. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1587/transinf.2017MUP0005 | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS |
Keywords | Field | DocType |
image identification, JPEG, social networks | Image identification,Computer vision,Pattern recognition,Computer science,JPEG,Artificial intelligence | Journal |
Volume | Issue | ISSN |
E101D | 1 | 1745-1361 |
Citations | PageRank | References |
0 | 0.34 | 14 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kenta Iida | 1 | 2 | 2.42 |
| Hitoshi Kiya | 2 | 616 | 113.80 |