TY - GEN
T1 - A patch analysis approach for seam-carved image detection
AU - Wei, Jyh Da
AU - Lin, Yu Ju
AU - Wu, Yi Jing
AU - Kang, Li Wei
PY - 2013
Y1 - 2013
N2 - Seam carving is a content-Aware image resizing method [Shamir and Avidan 2007], which assigns Sobel-operator-based energy to each pixel and describes seams as the eight-connected paths of pixels. Successive removal of the optimal seams, i.e., those seams with the lowest sum of energy, allows reduction in image size. Pixels with lower energy are generally removed earlier; implying that (1) the modifications to the image are difficult to identify and (2) low energy can be deliberately assigned to particular objects so that they can be removed from the image. These two observations reveal that, although difficult, it is important to design a seam carving detection method.
AB - Seam carving is a content-Aware image resizing method [Shamir and Avidan 2007], which assigns Sobel-operator-based energy to each pixel and describes seams as the eight-connected paths of pixels. Successive removal of the optimal seams, i.e., those seams with the lowest sum of energy, allows reduction in image size. Pixels with lower energy are generally removed earlier; implying that (1) the modifications to the image are difficult to identify and (2) low energy can be deliberately assigned to particular objects so that they can be removed from the image. These two observations reveal that, although difficult, it is important to design a seam carving detection method.
UR - https://www.scopus.com/pages/publications/84881605601
U2 - 10.1145/2503385.2503445
DO - 10.1145/2503385.2503445
M3 - 会议稿件
AN - SCOPUS:84881605601
SN - 9781450323420
T3 - ACM SIGGRAPH 2013 Posters, SIGGRAPH 2013
BT - ACM SIGGRAPH 2013 Posters, SIGGRAPH 2013
T2 - ACM Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH 2013
Y2 - 21 July 2013 through 25 July 2013
ER -