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arXiv · 2109.01764

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

Lakshmanan Nataraj·Chandrakanth Gudavalli·Tajuddin Manhar Mohammed·Shivkumar Chandrasekaran·B. S. Manjunath
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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.

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Lakshmanan Nataraj, Chandrakanth Gudavalli, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath. 2021-09-04. Seam Carving Detection and Localization using Two-Stage Deep Neural Networks. https://doi.org/10.1007/978-981-16-0289-4_29

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