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An effective method to detect seam carving

Journal of Information Security and Applications, 2017
Abstract Seam carving, also known as content-aware image resizing, is the most popular image resizing algorithm nowadays. Therefore, detecting seam carving has become an important topic in image forensics. In this paper, an advanced statistical model, consisting of local derivative pattern, Markov transition probabilities, and subtractive pixel ...
Jingyu Ye, Yun-Qing Shi
exaly   +2 more sources

Exploring the location of object deleted by seam-carving

Expert Systems With Applications, 2018
Abstract Seam-carving is used for adjusting the size of an image as well as removing objects from images. When seam-carving is applied to delete the object in the image, it may lead to the distortion of the information transmitted by the image, misleading the public, and endangering human health.
Ling Du
exaly   +2 more sources

Block-based seam carving

2011 1st International Symposium on Access Spaces (ISAS), 2011
Content aware image resizing technique has become more important with the development of device technology. Although the seam carving method produces high-quality resized images, it requires high computational complexity. In this paper, we propose a block-based seam carving method, which is extended from the seam carving method.
Masaaki Ikehara, Kazu Mishiba
exaly   +2 more sources

A Hybrid Feature Model for Seam Carving Detection

Lecture Notes in Computer Science, 2017
Seam carving, as a content-aware image resizing algorithm, is widely used nowadays. In this paper, an advanced hybrid feature model is presented to reveal the trace of seam carving, especially seam carving at a low carving rate, applied to uncompressed digital images.
Jingyu Ye, Yun-Qing Shi, Shi Yun-Qing
exaly   +2 more sources

Reverse Seam Carving

2011 Sixth International Conference on Image and Graphics, 2011
Seam carving is an effective operator supporting content-aware resizing for both image reduction and expansion. However, repeated seam removing and inserting processes lead to excessively distortion image when imposed on seam insertion then removal operations or the other way around. With considering the relationship between seam removing and inserting
Gang Pan   +4 more
openaire   +1 more source

Geometry seam carving

Computer-Aided Design, 2014
We present a novel approach to feature-aware mesh deformation. Previous mesh editing methods are based on an elastic deformation model and thus tend to uniformly distribute the distortion in a least-squares sense over the entire deformation region. Recent results from image resizing, however, show that discrete local modifications such as deleting or ...
Ellen Dekkers, Leif Kobbelt
openaire   +1 more source

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