Detecting Trace of Seam Carving for Forensic Analysis
Summary :
Seam carving, which preserves semantically important image content during resizing process, has been actively researched in recent years. This paper proposes a novel forensic technique to detect the trace of seam carving. We exploit the energy bias and noise level of images under analysis to reliably unveil the evidence of seam carving. Furthermore, we design a detector investigating the relationship among neighboring pixels to estimate the inserted seams. Experimental results from a large set of test images indicates the superior performance of the proposed methods for both seam carving and seam insertion.
- Publication
- IEICE TRANSACTIONS on Information Vol.E97-D No.5 pp.1304-1311
- Publication Date
- 2014/05/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E97.D.1304
- Type of Manuscript
- PAPER
- Category
- Image Recognition, Computer Vision
Authors
Seung-Jin RYU
Korea Advanced Institute of Science and Technology
Hae-Yeoun LEE
Kumoh National Institute of Technology
Heung-Kyu LEE
Korea Advanced Institute of Science and Technology
Keyword
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Seung-Jin RYU, Hae-Yeoun LEE, Heung-Kyu LEE, "Detecting Trace of Seam Carving for Forensic Analysis" in IEICE TRANSACTIONS on Information,
vol. E97-D, no. 5, pp. 1304-1311, May 2014, doi: 10.1587/transinf.E97.D.1304.
Abstract: Seam carving, which preserves semantically important image content during resizing process, has been actively researched in recent years. This paper proposes a novel forensic technique to detect the trace of seam carving. We exploit the energy bias and noise level of images under analysis to reliably unveil the evidence of seam carving. Furthermore, we design a detector investigating the relationship among neighboring pixels to estimate the inserted seams. Experimental results from a large set of test images indicates the superior performance of the proposed methods for both seam carving and seam insertion.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E97.D.1304/_p
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@ARTICLE{e97-d_5_1304,
author={Seung-Jin RYU, Hae-Yeoun LEE, Heung-Kyu LEE, },
journal={IEICE TRANSACTIONS on Information},
title={Detecting Trace of Seam Carving for Forensic Analysis},
year={2014},
volume={E97-D},
number={5},
pages={1304-1311},
abstract={Seam carving, which preserves semantically important image content during resizing process, has been actively researched in recent years. This paper proposes a novel forensic technique to detect the trace of seam carving. We exploit the energy bias and noise level of images under analysis to reliably unveil the evidence of seam carving. Furthermore, we design a detector investigating the relationship among neighboring pixels to estimate the inserted seams. Experimental results from a large set of test images indicates the superior performance of the proposed methods for both seam carving and seam insertion.},
keywords={},
doi={10.1587/transinf.E97.D.1304},
ISSN={1745-1361},
month={May},}
Copy
TY - JOUR
TI - Detecting Trace of Seam Carving for Forensic Analysis
T2 - IEICE TRANSACTIONS on Information
SP - 1304
EP - 1311
AU - Seung-Jin RYU
AU - Hae-Yeoun LEE
AU - Heung-Kyu LEE
PY - 2014
DO - 10.1587/transinf.E97.D.1304
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2014
AB - Seam carving, which preserves semantically important image content during resizing process, has been actively researched in recent years. This paper proposes a novel forensic technique to detect the trace of seam carving. We exploit the energy bias and noise level of images under analysis to reliably unveil the evidence of seam carving. Furthermore, we design a detector investigating the relationship among neighboring pixels to estimate the inserted seams. Experimental results from a large set of test images indicates the superior performance of the proposed methods for both seam carving and seam insertion.
ER -
English
