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

• URL: http://arxiv.org/abs/2109.01764v1
• Date: Sat, 4 Sep 2021 01:49:08 GMT
• Title: Seam Carving Detection and Localization using Two-Stage Deep Neural Networks
• Authors: Lakshmanan Nataraj, Chandrakanth Gudavalli, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B.S. Manjunath
• Abstract summary: 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.
• Score: 15.31182286085455
• License: http://creativecommons.org/licenses/by/4.0/
• 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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