A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Seam carving for content-aware image resizing
ACM SIGGRAPH 2007 papers
Improved seam carving for video retargeting
ACM SIGGRAPH 2008 papers
Multi-operator media retargeting
ACM SIGGRAPH 2009 papers
ACM SIGGRAPH ASIA 2009 Courses
Image retargeting using importance diffusion
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
| Hi-index | 0.00 |
In this paper, we present a fast seam carving approach with strip constraints. To reduce the artifacts caused by seam carving, the seam carving is constrained in several non-overlapped strips, whose objective size is unequal. The whole resizing scheme involves the following steps. Firstly, we divide the source image into several strips of equal space and calculate the importance of each strip by averaging the saliency values. Secondly, we distribute the size of the target image into all strips by their importance with the constraints of the objective function. Thirdly, with the objective size, we could determine the number of removed seams for each strip. Then the fast seam carving scheme is used to resize the strip to the objective size. The experimental results show that suitable number of grids could avoid removing the seams adjacently and could improve the image quality visually.