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

被引:21
作者
Luo, Siqiang [1 ]
Zhang, Junping [1 ]
Zhang, Qian [1 ]
Yuan, Xiaoru [2 ]
机构
[1] Fudan Univ, Sch Comp Sci, Shanghai Key Lab Intelligent Informat Proc, Shanghai 200433, Peoples R China
[2] Peking Univ, Sch Elect Engn & Comp Sci, Key Lab Machine Percept, Minist Educ, Beijing 100871, Peoples R China
基金
中国国家自然科学基金;
关键词
Image resizing; Multi-operator; Seam carving; Cropping method; Image similarity; VISUAL-ATTENTION; MODEL;
D O I
10.1016/j.imavis.2012.06.008
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:655 / 667
页数:13
相关论文
共 34 条
[1]  
[Anonymous], ICCV
[2]  
[Anonymous], ACM T GRAPHICS
[3]  
[Anonymous], 2008, CVPR
[4]  
[Anonymous], 2007, CVPR
[5]  
[Anonymous], 2008, CVPR
[6]  
[Anonymous], 2009, CVPR
[7]  
[Anonymous], 2007, 2007 IEEE 11 INT C C, DOI DOI 10.1109/ICCV.2007.4409010
[8]   Seam carving for content-aware image resizing [J].
Avidan, Shai ;
Shamir, Ariel .
ACM TRANSACTIONS ON GRAPHICS, 2007, 26 (03)
[9]   A cognitive model for visual attention and its application [J].
Bosse, Tibor ;
van Maarten, Peter-Paul ;
Treur, Jan .
2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, Proceedings, 2006, :255-262
[10]   A visual attention model for adapting images on small displays [J].
Chen, LQ ;
Xie, X ;
Fan, X ;
Ma, WY ;
Zhang, HJ ;
Zhou, HQ .
MULTIMEDIA SYSTEMS, 2003, 9 (04) :353-364