short-paper

Image retargeting using multi-map constrained region warping

Authors:

Tongwei Ren,

Yan Liu,

Gangshan WuAuthors Info & Claims

MM '09: Proceedings of the 17th ACM international conference on Multimedia

Pages 853 - 856

https://doi.org/10.1145/1631272.1631431

Published: 19 October 2009 Publication History

Get Access

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

[1]

H. Liu, S. Jiang, Q. Huang, C. Xu, and W. Gao. Region-based visual attention analysis with its application in image browsing on small displays. ACM MM, Germany, 2007.

Digital Library

Google Scholar

[2]

T. Ren, Y. Liu, and G. Wu. Image retargeting based on global energy optimization. ICME, USA, 2009.

Digital Library

Google Scholar

[3]

V. Setlur, S. Takagi, R. Raskar, M. Gleicher, and B. Gooch. Automatic image retargeting. Int'l Conf. Mobile and Ubiquitous Multimedia, New Zealand, 2005.

Digital Library

Google Scholar

[4]

L. Wolf, M. Guttmann, and D. Cohen-Or. Non--homogeneous content-driven video-retargeting. ICCV, Brazil, 2007.

Crossref

Google Scholar

[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.

Digital Library

Google Scholar

[6]

M. Rubinstein, A. Shamir, and S. Avidan. Improved seam carving for video retargeting. SIGGRAPH, USA, 2008.

Digital Library

Google Scholar

[7]

F. Liu and M. Gleicher. Automatic image retargeting with fisheye-view warping. Symp. UIST, USA, 2005.

Digital Library

Google Scholar

[8]

Y.-S. Wang, C.-L. Tai, O. Sorkine, and T.-Y. Lee. Optimized scale-and-stretch for image resizing. TOG, 27(5), 2008.

Digital Library

Google Scholar

[9]

Y. Guo, F. Liu, J. Shi, Z.-H. Zhou, and M. Gleicher. Image retargeting using mesh parametrization. TMM, 2009.

Google Scholar

[10]

D. Comaniciu, and P. Meer. Mean shift: a robust approach toward feature space analysis. TPAMI, 24(5):603--619, 2002.

Digital Library

Google Scholar

Cited By

View all

Liu QKang BLiu HLi HChen RLiu G(2021)Efficient Medical Image Adaption via Axis-Aligned Mesh DeformationJournal of Medical Imaging and Health Informatics10.1166/jmihi.2021.354711:8(2048-2054)Online publication date: 1-Aug-2021
https://doi.org/10.1166/jmihi.2021.3547
Lau CYung CLui L(2018)Image Retargeting via Beltrami RepresentationIEEE Transactions on Image Processing10.1109/TIP.2018.285814627:12(5787-5801)Online publication date: 1-Dec-2018
https://dl.acm.org/doi/10.1109/TIP.2018.2858146
Fang YFang ZYuan FYang YYang SXiong N(2017)Optimized Multioperator Image Retargeting Based on Perceptual Similarity MeasureIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2016.255722547:11(2956-2966)Online publication date: Nov-2017
https://doi.org/10.1109/TSMC.2016.2557225
Show More Cited By

Index Terms

Image retargeting using multi-map constrained region warping
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
  2. Computer graphics
    1. Graphics systems and interfaces
      1. Perception

Recommendations

Image Retargeting by Combining Region Warping and Occlusion
Advances in Multimedia Information Processing – PCM 2013
Abstract
Image retargeting aims to avoid visual distortion while retaining important image content in resizing. However, current image retargeting methods usually fail in difficult situations, such as complex structures and intricate arrangements of ...
Image retargeting using mesh parametrization

Image retargeting aims to adapt images to displays of small sizes and different aspect ratios. Effective retargeting requires emphasizing the important content while retaining surrounding context with minimal visual distortion. In this paper, we present ...
Dynamic distortion maps for image retargeting

We present an image retargeting method that incorporates image content distortion into a mesh optimization process through the generation of dynamic distortion maps. The warping process is driven by the distortion produced by the warping process itself. ...

Comments

Information & Contributors

Information

Published In

MM '09: Proceedings of the 17th ACM international conference on Multimedia

October 2009

1202 pages

ISBN:9781605586083

DOI:10.1145/1631272

General Chairs:
Wen Gao
Peking University, China
,
Yong Rui
Microsoft, China
,
Alan Hanjalic
Delft University of Technology, The Netherlands
,
Program Chairs:
Changsheng Xu
Institute of Automation, Chinese Academy of Sciences, China
,
Eckehard Steinbach
Technical University of Munich, Germany
,
Abdulmotaleb El Saddik
University of Ottawa, Canada
,
Michelle Zhou
IBM T. J. Watson Research Center, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 October 2009

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Short-paper

Conference

MM09

Sponsor:

SIGMM

MM09: ACM Multimedia Conference

October 19 - 24, 2009

Beijing, China

Acceptance Rates

Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

15
Total Citations
View Citations
439
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)0

Reflects downloads up to 25 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Liu QKang BLiu HLi HChen RLiu G(2021)Efficient Medical Image Adaption via Axis-Aligned Mesh DeformationJournal of Medical Imaging and Health Informatics10.1166/jmihi.2021.354711:8(2048-2054)Online publication date: 1-Aug-2021
https://doi.org/10.1166/jmihi.2021.3547
Lau CYung CLui L(2018)Image Retargeting via Beltrami RepresentationIEEE Transactions on Image Processing10.1109/TIP.2018.285814627:12(5787-5801)Online publication date: 1-Dec-2018
https://dl.acm.org/doi/10.1109/TIP.2018.2858146
Fang YFang ZYuan FYang YYang SXiong N(2017)Optimized Multioperator Image Retargeting Based on Perceptual Similarity MeasureIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2016.255722547:11(2956-2966)Online publication date: Nov-2017
https://doi.org/10.1109/TSMC.2016.2557225
Lin YNiu YZhang SChen J(2017)Anisotropic energy accumulation for stereoscopic image seam carving2017 International Conference on 3D Immersion (IC3D)10.1109/IC3D.2017.8251899(1-7)Online publication date: Dec-2017
https://doi.org/10.1109/IC3D.2017.8251899
Mancas MLe Meur O(2016)Applications of Saliency ModelsFrom Human Attention to Computational Attention10.1007/978-1-4939-3435-5_18(331-377)Online publication date: 30-Jun-2016
https://doi.org/10.1007/978-1-4939-3435-5_18
Zhang LWang MNie LHong LRui YTian Q(2015)Retargeting Semantically-Rich PhotosIEEE Transactions on Multimedia10.1109/TMM.2015.245195417:9(1538-1549)Online publication date: Sep-2015
https://doi.org/10.1109/TMM.2015.2451954
Engelke UWang JMarendy P(2015)Perceptual Relevance Based Image RetargetingIEEE Signal Processing Letters10.1109/LSP.2014.236813622:6(705-708)Online publication date: Jun-2015
https://doi.org/10.1109/LSP.2014.2368136
Lin XMa YMa LZhang R(2014)A survey for image resizingJournal of Zhejiang University SCIENCE C10.1631/jzus.C140010215:9(697-716)Online publication date: 23-Sep-2014
https://doi.org/10.1631/jzus.C1400102
Wang QLi X(2014)Shrink image by feature matrix decompositionNeurocomputing10.1016/j.neucom.2014.03.025140(162-171)Online publication date: Sep-2014
https://doi.org/10.1016/j.neucom.2014.03.025
Qiu ZRen TLiu YBei JYang Y(2013)Multi-operator Image Retargeting Based on Automatic Quality AssessmentProceedings of the 2013 Seventh International Conference on Image and Graphics10.1109/ICIG.2013.92(428-433)Online publication date: 26-Jul-2013
https://dl.acm.org/doi/10.1109/ICIG.2013.92
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Image Retargeting by Combining Region Warping and Occlusion

Image retargeting using mesh parametrization

Dynamic distortion maps for image retargeting