| Full text | |
| Author(s): |
Moreira, Thierry P.
;
Santana, Marcos Cleison S.
;
Passos, Leandro A.
;
Papa, Joao Paulo
;
da Costa, Kelton Augusto P.
;
Pinho, AJ
;
Georgieva, P
;
Teixeira, LF
;
Sanchez, JA
Total Authors: 9
|
| Document type: | Journal article |
| Source: | PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2022); v. 13256, p. 11-pg., 2022-01-01. |
| Abstract | |
Seam carving is a computational method capable of resizing images for both reduction and expansion based on its content, instead of the image geometry. Although the technique is mostly employed to deal with redundant information, i.e., regions composed of pixels with similar intensity, it can also be used for tampering images by inserting or removing relevant objects. Therefore, detecting such a process is of extreme importance regarding the image security domain. However, recognizing seam-carved images does not represent a straightforward task even for human eyes, and robust computation tools capable of identifying such alterations are very desirable. In this paper, we propose an end-to-end approach to cope with the problem of automatic seam carving detection that can obtain state-of-the-art results. Experiments conducted over public and private datasets with several tampering configurations evidence the suitability of the proposed model. (AU) | |
| FAPESP's process: | 21/05516-1 - On the application of Explainable Artificial Intelligence (XAI) techniques for generating images from data packages to detect anomalies in computer networks |
| Grantee: | Kelton Augusto Pontara da Costa |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 14/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction? |
| Grantee: | Alexandre Xavier Falcão |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 19/07665-4 - Center for Artificial Intelligence |
| Grantee: | Fabio Gagliardi Cozman |
| Support Opportunities: | Research Grants - Research Program in eScience and Data Science - Research Centers in Engineering Program |
| FAPESP's process: | 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry |
| Grantee: | Francisco Louzada Neto |
| Support Opportunities: | Research Grants - Research, Innovation and Dissemination Centers - RIDC |