Multi-operator image retargeting with automatic integration of direct and indirect seam carving

  • Authors:

  • Siqiang Luo;Junping Zhang;Qian Zhang;Xiaoru Yuan

  • Affiliations:

  • Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, 200433, Shanghai, China;Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, 200433, Shanghai, China;Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, 200433, Shanghai, China;Key Laboratory of Machine Perception (Ministry of Education), School of Electronics Engineering and Computer Science, Peking University, 100871, Beijing, China

  • Venue:
  • Image and Vision Computing
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

Multi-operator image resizing can preserve important objects and structure in an image by combining multiple image resizing operators. However, traditional multi-operator methods do not take both horizontal and vertical content-aware resizing potential into consideration, which essentially leads to squeeze/stretch effect in the resultant images. In this paper, we propose a new multi-operator scheme that addresses aforementioned issue by integrating direct and indirect seam carving. Compared with previous methods, the proposed scheme remarkably reduces the cost of deciding when to change operators, by employing a newly defined image artifact measure. Furthermore, we propose a novel seam carving enhancement, named ACcumulated Energy Seam Carving (ACESC), as a basic operator to improve global structure preservation. By combining horizontal and vertical seam carving, our scheme preserves the shapes of important objects well. We present typical results to demonstrate the effectiveness of our method. User study shows that our method has high user preference.