Seam Carving Detection and Localization using Two-Stage Deep Neural Networks
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.
Code (0)
등록된 구현이 없습니다.
Tasks
Vocal Bursts Valence PredictionMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery
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 insert/remove roads in a satellite image. …
Image RetargetingImage Seam-Carving by Controlling Positional Distribution of Seams
Image retargeting is a new image processing task that renders the change of aspect ratio in images. One of the most famous image-retargeting algorithms is seam-carving. Although seam-carving is fast and straightforward, …
Image Quality AssessmentImage RetargetingAn End-to-End Approach for Seam Carving Detection using Deep Neural Networks
Seam carving is a computational method capable of resizing images for both reduction and expansion based on its content, instead of the image geometry. Although the technique is mostly employed to deal with redundant inf…
Seam Carving as Feature Pooling in CNN
This work investigates the potential of seam carving as a feature pooling technique within Convolutional Neural Networks (CNNs) for image classification tasks. We propose replacing the traditional max pooling layer with …
image-classificationImage ClassificationDeep Convolutional Neural Network for Identifying Seam-Carving Forgery
Seam carving is a representative content-aware image retargeting approach to adjust the size of an image while preserving its visually prominent content. To maintain visually important content, seam-carving algorithms fi…
Image ForensicsImage Retargeting