| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0482763 |
| utime |
20240111140952.8 |
| mtime |
20171207235959.9 |
| SCOPUS |
85050670586 |
| WOS |
000428743900063 |
| DOI |
10.1109/IPTA.2017.8310139 |
| title
(primary) (eng) |
JPEG Compression Model in Copy-move Forgery Detection |
| specification |
| page_count |
6 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0482762 |
| ISBN |
978-1-5386-1843-1 |
| title
|
Proceedings of the Seventh International Conference on Image Processing Theory, Tools and Applications |
| publisher |
| place |
Montreal |
| name |
IEEE |
| year |
2017 |
|
|
| keyword |
Image forensics |
| keyword |
Copy-move forgery detection |
| keyword |
Image tampering |
| keyword |
JPEG |
| keyword |
Quantization constraint set |
| author
(primary) |
| ARLID |
cav_un_auth*0283562 |
| share |
50 |
| name1 |
Novozámský |
| name2 |
Adam |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept (eng) |
Department of Image Processing |
| department (cz) |
ZOI |
| department (eng) |
ZOI |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0108377 |
| share |
50 |
| name1 |
Šorel |
| name2 |
Michal |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0338628 |
| project_id |
GA16-13830S |
| agency |
GA ČR |
| country |
CZ |
|
| project |
| ARLID |
cav_un_auth*0314467 |
| project_id |
GA15-16928S |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
The integrity of visual data is important for the credibility of news media and especially when used as an evidence in court or during criminal investigation. The common way to manipulate image content is copying an object and pasting in another location of the same image. In this paper, we describe a new idea for the detection of this type of forgery in JPEG images, where the compression significantly degrades detection by popular algorithms. We derive a JPEG-based constraint that any pair of patches must satisfy to be considered a valid candidate for tampered area. We propose also efficient algorithm to verify the constraint that can be integrated into most existing methods. Experiments show significant improvement of detection, especially for difficult cases, such as small objects, objects covered by textureless areas and repeated patterns. |
| action |
| ARLID |
cav_un_auth*0354801 |
| name |
International Conference on Image Processing Theory, Tools and Applications (IPTA 2017) /7./ |
| dates |
20171128 |
| mrcbC20-s |
20171201 |
| place |
Montreal |
| country |
CA |
|
| RIV |
JD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20205 |
| reportyear |
2018 |
| num_of_auth |
2 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0278140 |
| mrcbC61 |
1 |
| confidential |
S |
| article_num |
65 |
| mrcbC83 |
RIV/67985556:_____/17:00482763!RIV18-AV0-67985556 191975728 Doplnění UT WOS a Scopus |
| mrcbC83 |
RIV/67985556:_____/17:00482763!RIV18-GA0-67985556 191965056 Doplnění UT WOS a Scopus |
| mrcbC86 |
3+4 Proceedings Paper Computer Science Artificial Intelligence|Engineering Electrical Electronic|Imaging Science Photographic Technology |
| mrcbC86 |
3+4 Proceedings Paper Computer Science Artificial Intelligence|Engineering Electrical Electronic|Imaging Science Photographic Technology |
| mrcbC86 |
3+4 Proceedings Paper Computer Science Artificial Intelligence|Engineering Electrical Electronic|Imaging Science Photographic Technology |
| arlyear |
2017 |
| mrcbU14 |
85050670586 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000428743900063 WOS |
| mrcbU56 |
pdf |
| mrcbU63 |
cav_un_epca*0482762 Proceedings of the Seventh International Conference on Image Processing Theory, Tools and Applications 978-1-5386-1843-1 Montreal IEEE 2017 |
|