SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery

@article{Gudavalli2022SeeTheSeamsLD,
  title={SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery},
  author={Chandrakanth Gudavalli and Erik Rosten and Lakshmanan Nataraj and Shivkumar Chandrasekaran and B. S. Manjunath},
  journal={2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
  year={2022},
  pages={1-11}
}
Seam carving is a popular technique for content aware image retargeting. It can be used to deliberately manipulate images, for example, change the GPS locations of a building or displace/remove roads in a satellite image. This paper proposes a novel approach for detecting and localizing seams in such images. While there are methods to detect seam carving based manipulations, this is the first time that robust localization and detection of seam carving forgery is made possible. We also propose a… 

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