RepSnapping: Efficient Image Cutout for Repeated Scene Elements
Repeated scene elements are copious and ubiquitous in natural images. Cutout of those repeated elements usually involves tedious and laborious user interaction by previous image segmentation methods. In this paper, we present RepSnapping, a novel method oriented to cutout of repeated scene elements...
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| Published in: | Computer graphics forum Vol. 30; no. 7; pp. 2059 - 2066 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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Oxford, UK
Blackwell Publishing Ltd
01.09.2011
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| ISSN: | 0167-7055, 1467-8659 |
| Online Access: | Get full text |
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| Abstract | Repeated scene elements are copious and ubiquitous in natural images. Cutout of those repeated elements usually involves tedious and laborious user interaction by previous image segmentation methods. In this paper, we present RepSnapping, a novel method oriented to cutout of repeated scene elements with much less user interaction. By exploring inherent similarity between repeated elements, a new optimization model is introduced to thread correlated elements in the segmentation procedure. The model proposed here enables efficient solution using max‐flow/min cut on an extended graph. Experiments indicate that RepSnapping facilitates cutout of repeated elements better than the state‐of‐the‐art interactive image segmentation and repetition detection methods. |
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| AbstractList | Repeated scene elements are copious and ubiquitous in natural images. Cutout of those repeated elements usually involves tedious and laborious user interaction by previous image segmentation methods. In this paper, we present RepSnapping, a novel method oriented to cutout of repeated scene elements with much less user interaction. By exploring inherent similarity between repeated elements, a new optimization model is introduced to thread correlated elements in the segmentation procedure. The model proposed here enables efficient solution using max‐flow/min cut on an extended graph. Experiments indicate that RepSnapping facilitates cutout of repeated elements better than the state‐of‐the‐art interactive image segmentation and repetition detection methods. Abstract Repeated scene elements are copious and ubiquitous in natural images. Cutout of those repeated elements usually involves tedious and laborious user interaction by previous image segmentation methods. In this paper, we present RepSnapping, a novel method oriented to cutout of repeated scene elements with much less user interaction. By exploring inherent similarity between repeated elements, a new optimization model is introduced to thread correlated elements in the segmentation procedure. The model proposed here enables efficient solution using max-flow/min cut on an extended graph. Experiments indicate that RepSnapping facilitates cutout of repeated elements better than the state-of-the-art interactive image segmentation and repetition detection methods. [PUBLICATION ABSTRACT] |
| Author | Zhang, Hong-Chao Zhang, Lei Huang, Hua |
| Author_xml | – sequence: 1 givenname: Hua surname: Huang fullname: Huang, Hua email: huanghua@mail.xjtu.edu.cn organization: School of Electronic and Information Engineering, Xi'an Jiaotong University, China – sequence: 2 givenname: Lei surname: Zhang fullname: Zhang, Lei organization: School of Electronic and Information Engineering, Xi'an Jiaotong University, China – sequence: 3 givenname: Hong-Chao surname: Zhang fullname: Zhang, Hong-Chao organization: School of Electronic and Information Engineering, Xi'an Jiaotong University, China |
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| Cites_doi | 10.1145/1618452.1618464 10.1023/B:VISI.0000022288.19776.77 10.1109/CVPR.2009.5206652 10.1109/34.1000236 10.1145/1015706.1015719 10.1109/CVPR.2006.91 10.1109/CVPR.2010.5539868 10.1109/TPAMI.2004.1262177 10.1109/CVPR.2007.383147 10.1145/1360612.1360642 10.1111/j.1467-8659.2010.01792.x 10.1145/1778765.1778820 10.1017/CBO9781107325852 10.1109/CVPR.2006.18 10.1109/CVPR.2010.5540080 10.1145/1360612.1360639 10.1109/TPAMI.2006.233 10.1145/1015706.1015721 10.1145/1882261.1866171 10.1145/218380.218442 10.1145/1015706.1015720 |
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| References_xml | – reference: Huang H., Zhang L., Fu T.-N.: Video painting via motion layer manipulation. Comput. Graph. Forum 29, 7 (2010), 2055-2064. 8. – reference: Sun J., Jia J., Tang C.-K., Shum H.-Y: Poisson matting. ACM Trans. Graph 23, 3 (2004), 315-321. 2. – reference: Grady L.: Random walks for image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 28, 11 (2006), 1768-1783. 2. – reference: Kolmogorov V., Zabih R.: What energy functions can be minimized via graph cuts. IEEE Trans. Pattern Anal. Mach. Intell. 26, 2 (2004), 147-159. 2, 3, 5. – reference: Rother C., Kolmogorov V., Blake A.: "Grab-cut": interactive foreground extraction using iterated graph cuts. ACM Trans. Graph 23 (2004), 309-314. 1, 2, 3, 5, 6. – reference: Comaniciu D., Meer P.: Mean shift: a robust approach toward feature space analysis. IEEE Trans. Pattern Anal. Mach. Intell. 24, 5 (2002), 603-619. 2, 5. – reference: An X.-B., Pellacini F.: Appprop: all-pairs appearance space edit propagation. ACM Trans. Graph. 27, 3 (2008), 40:1-40:9. 3, 8. – reference: Thompson D. W.: On Growth and Form. Dover, 1992. 1. – reference: Xu K., Li Y, Ju T., Hu S.-M., Liu T.-Q.: Efficient affinity-based edit propagation using k-d tree. ACM Trans. Graph 28, 5 (2009), 118:1-118:6. 3. – reference: Felzenszwalb P. F., Huttenlocher D. P.: Efficient graph-based image segmentation. Int. J. Comput. Vision 59, 2 (2004), 167-181. 2. – reference: Wan C. K., Yuan B. Z., Miao Z. J.: A moving object segmentation algorithm for static camera via active contours and GMM. Science in China 52, 2 (2009), 322-328. 8. – reference: Cheng M. M., Zhang F. L., Mitra N. I., Huang X., Hu S. M.: RepFinder: finding approximately repeated scene elements for image editing. ACM Trans. Graph. 29, 4 (2010), 83:1-83:8. 1, 2, 3, 5, 6. – reference: Pauly M., Mitra N. J., Wallner J., Pottmann H., Guibas L. J.: Discovering structural regularity in 3D geometry. ACM Trans. Graph 27, 3 (2008), 43:1-43:11. 3. – reference: Li Y., Sun J., Tang C.-K., Shum H.-Y: Lazy snapping. ACM Trans. Graph. 23, 3 (2004), 303-308. 1, 2, 3, 4, 5, 6. – reference: Farbman Z., Fattal R., Lischinski D.: Diffusion maps for edge-aware image editing. ACM Trans. Graph. 29, 6 (2010), 145:1-145:10. 3. – volume: 29 start-page: 2055 issue: 7 year: 2010 end-page: 2064 article-title: Video painting via motion layer manipulation publication-title: Comput. Graph. Forum – year: 2009 – volume: 28 start-page: 118:1 issue: 5 year: 2009 end-page: 118:6 article-title: Efficient affinity‐based edit propagation using k‐d tree publication-title: ACM Trans. Graph – volume: 28 start-page: 1768 issue: 11 year: 2006 end-page: 1783 article-title: Random walks for image segmentation publication-title: IEEE Trans. Pattern Anal. Mach. Intell – volume: 23 start-page: 303 issue: 3 year: 2004 end-page: 308 article-title: Lazy snapping publication-title: ACM Trans. Graph – volume: 52 start-page: 322 issue: 2 year: 2009 end-page: 328 article-title: A moving object segmentation algorithm for static camera via active contours and GMM publication-title: Science in China – volume: 23 start-page: 315 issue: 3 year: 2004 end-page: 321 article-title: Poisson matting publication-title: ACM Trans. Graph – year: 2001 – year: 2007 – year: 2008 – volume: 24 start-page: 603 issue: 5 year: 2002 end-page: 619 article-title: Mean shift: a robust approach toward feature space analysis publication-title: IEEE Trans. Pattern Anal. Mach. Intell – volume: 29 start-page: 83:1 issue: 4 year: 2010 end-page: 83:8 article-title: RepFinder: finding approximately repeated scene elements for image editing publication-title: ACM Trans. Graph – volume: 26 start-page: 147 issue: 2 year: 2004 end-page: 159 article-title: What energy functions can be minimized via graph cuts publication-title: IEEE Trans. Pattern Anal. Mach. Intell – start-page: 993 year: 2006 end-page: 1000 – year: 2000 – year: 1995 – volume: 59 start-page: 167 issue: 2 year: 2004 end-page: 181 article-title: Efficient graph‐based image segmentation publication-title: Int. J. Comput. Vision – volume: 27 start-page: 40:1 issue: 3 year: 2008 end-page: 40:9 article-title: Appprop: all‐pairs appearance space edit propagation publication-title: ACM Trans. Graph – start-page: 61 year: 2006 end-page: 68 – volume: 29 start-page: 145:1 issue: 6 year: 2010 end-page: 145:10 article-title: Diffusion maps for edge‐aware image editing publication-title: ACM Trans. Graph – volume: 27 start-page: 43:1 issue: 3 year: 2008 end-page: 43:11 article-title: Discovering structural regularity in 3D geometry publication-title: ACM Trans. Graph – year: 1992 – volume: 23 start-page: 309 year: 2004 end-page: 314 article-title: “Grab‐cut”: interactive foreground extraction using iterated graph cuts publication-title: ACM Trans. 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| SubjectTerms | Computer graphics Graphs I.4.6 [Computer Graphics]: Image processing and computer vision-Segmentation Image processing systems Image segmentation Interactive Optimization Segmentation Similarity State of the art Studies |
| Title | RepSnapping: Efficient Image Cutout for Repeated Scene Elements |
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