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Seam Carving Detection and Localization using Two-Stage Deep Neural Networks

2021-09-04 01:49:08
Lakshmanan Nataraj, Chandrakanth Gudavalli, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B.S. Manjunath
arXiv_CV
       
Abstract

Seam carving is a method to resize an image in a content aware fashion. However, this method can also be used to carve out objects from images. In this paper, we propose a two-step method to detect and localize seam carved images. First, we build a detector to detect small patches in an image that has been seam carved. Next, we compute a heatmap on an image based on the patch detector's output. Using these heatmaps, we build another detector to detect if a whole image is seam carved or not. Our experimental results show that our approach is effective in detecting and localizing seam carved images.

Abstract (translated)

URL

https://arxiv.org/abs/2109.01764

PDF

https://arxiv.org/pdf/2109.01764.pdf

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