publication . Preprint . 2014

Image Retargeting by Content-Aware Synthesis

Dong, Weiming; Wu, Fuzhang; Kong, Yan; Mei, Xing; Lee, Tong-Yee; Zhang, Xiaopeng;
Open Access English
  • Published: 25 Mar 2014
Abstract
Real-world images usually contain vivid contents and rich textural details, which will complicate the manipulation on them. In this paper, we design a new framework based on content-aware synthesis to enhance content-aware image retargeting. By detecting the textural regions in an image, the textural image content can be synthesized rather than simply distorted or cropped. This method enables the manipulation of textural & non-textural regions with different strategy since they have different natures. We propose to retarget the textural regions by content-aware synthesis and non-textural regions by fast multi-operators. To achieve practical retargeting applicati...
Subjects
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputingMethodologies_COMPUTERGRAPHICS
free text keywords: Computer Science - Graphics, Computer Science - Computer Vision and Pattern Recognition
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52 references, page 1 of 4

ACHANTA, R., SHAJI, A., SMITH, K., LUCCHI, A., FUA, P., AND S U¨SSTRUNK, S. 2012. SLIC superpixels compared to state-of-the-art superpixel methods. IEEE Transactions on Pattern Analysis and Machine Intelligence 34, 11, 2274-2282.

AVIDAN, S., AND SHAMIR, A. 2007. Seam carving for contentaware image resizing. ACM Trans. Graph. 26, 3, 10:1-10:10.

BARNES, C., SHECHTMAN, E., FINKELSTEIN, A., AND GOLDMAN, D. B. 2009. Patchmatch: a randomized correspondence algorithm for structural image editing. ACM Trans. Graph. 28, 3, 24:1-24:12.

BASHA, T., MOSES, Y., AND AVIDAN, S. 2013. Stereo seam carving a geometrically consistent approach. IEEE Transactions on Pattern Analysis and Machine Intelligence 35, 10, 2513-2525. [OpenAIRE]

BERGMAN, R., NACHLIELI, H., AND RUCKENSTEIN, G. 2007. Detection of textured areas in images using a disorganization indicator based on component counts. Tech. Rep. HPL-2005- 175R1, HP Labs.

BUADES, A., LE, T. M., MOREL, J.-M., AND VESE, L. A. 2010. Fast cartoon + texture image filters. IEEE Transactions on Image Processing 19, 8, 1978-1986.

CHANG, C.-H. 2012. A line-structure-preserving approach to image resizing. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Computer Society, Washington, DC, USA, 1075-1082.

CHEN, Q., LI, D., AND TANG, C.-K. 2013. Knn matting. IEEE Transactions on Pattern Analysis and Machine Intelligence 35, 9, 2175-2188. [OpenAIRE]

CHENG, M.-M., ZHANG, G.-X., MITRA, N., HUANG, X., AND HU, S.-M. 2011. Global contrast based salient region detection. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 409 -416.

CHO, T. S., BUTMAN, M., AVIDAN, S., AND FREEMAN, W. T. 2008. The patch transform and its applications to image editing. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR)., 1-8. [OpenAIRE]

CRIMINISI, A., SHARP, T., ROTHER, C., AND P'EREZ, P. 2010. Geodesic image and video editing. ACM Trans. Graph. 29, 5 (Nov.), 134:1-134:15.

DONG, W., ZHOU, N., AND PAUL, J.-C. 2008. Perspective-aware texture analysis and synthesis. Vis. Comput. 24, 7, 515-523.

DONG, W., ZHOU, N., PAUL, J.-C., AND ZHANG, X. 2009. Optimized image resizing using seam carving and scaling. ACM Trans. Graph. 28, 5, 125:1-125:10.

DONG, W., BAO, G., ZHANG, X., AND PAUL, J.-C. 2012. Fast multi-operator image resizing and evaluation. Journal of Computer Science and Technology 27, 1, 121-134.

DONG, W., ZHOU, N., LEE, T.-Y., WU, F., KONG, Y., AND ZHANG, X. 2014. Summarization-based image resizing by intelligent object carving. IEEE Transactions on Visualization and Computer Graphics 20, 1, 111-124.

52 references, page 1 of 4
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