ACM Home Page
Please provide us with feedback. Feedback
Digital Library logoTake a look at the new version of this page: [ beta version ]. Tell us what you think.
Image retargeting using multi-map constrained region warping
Full text PdfPdf (3.42 MB)
Source
International Multimedia Conference archive
Proceedings of the seventeen ACM international conference on Multimedia table of contents
Beijing, China
SESSION: Short papers session 3: applications and systems table of contents
Pages: 853-856  
Year of Publication: 2009
ISBN:978-1-60558-608-3
Authors
Tongwei Ren  State Key Lab for Novel Software Technology, Nanjing University, Nanjing, China
Yan Liu  Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China
Gangshan Wu  State Key Lab for Novel Software Technology, Nanjing University, Nanjing, China
Sponsor
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 64,   Downloads (12 Months): 142,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1631272.1631431
What is a DOI?

ABSTRACT

Image retargeting aims to adapt images to various screens with small sizes and arbitrary aspect ratios. In this paper, we propose a novel image retargeting approach based on region warping, which emphasizes the image parts with important content while reducing the visual distortion over the whole image. First, the original image is decomposed into homogeneous regions and further represented by curve-edge trapezoid meshes. Then, two kinds of energy maps, importance map and sensitivity map, are calculated by visual attention model and weighted gradient map respectively. With mesh representation and energy map constraints, image retargeting is formulated to a constrained optimization problem of mesh vertexes relocation. Finally, the target image is generated by separately warping the regions based on the deduced optimal solution. The experiments on different images demonstrate the effective and efficiency of our algorithm.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
2
T. Ren, Y. Liu, and G. Wu. Image retargeting based on global energy optimization. ICME, USA, 2009.
3
 
4
L. Wolf, M. Guttmann, and D. Cohen-Or. Non--homogeneous content-driven video-retargeting. ICCV, Brazil, 2007.
 
5
L.-Q. Chen, X. Xie, X. Fan, W.-Y. Ma, H.-J. Zhang, and H.-Q. Zhou. A visual attention model for adapting images on small displays. Multimedia Systems, 9(4):353--364, 2003.
6
7
8
 
9
Y. Guo, F. Liu, J. Shi, Z.-H. Zhou, and M. Gleicher. Image retargeting using mesh parametrization. TMM, 2009.
 
10

Collaborative Colleagues:
Tongwei Ren: colleagues
Yan Liu: colleagues
Gangshan Wu: colleagues