Learning to resize image
文献类型:期刊论文
作者 | Wang, Qi1; Yuan, Yuan2![]() |
刊名 | neurocomputing
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出版日期 | 2014-05-05 |
卷号 | 131页码:357-367 |
关键词 | Image processing Machine learning Image resizing Seam carving Boundary Saliency |
ISSN号 | 0925-2312 |
英文摘要 | content-aware image resizing has been a promising theme in the communities of image processing and computer vision. to the best of our knowledge, most existing methods for image resizing are unsupervised. these unsupervised methods may either fail to protect the interesting regions or cause distortion of the image structure. this paper presents a novel learning based method for seam carving by incorporating the learned boundary of the important content. specifically, a novel boundary model of the region of interest (roi) is learned on a set of training images at first. then the boundary of an input image is utilized as a key prior in performing seam carving to obtain the target image. the proposed method for image resizing can generate much less seams cutting through the roi compared with previous efforts toward the same goal. thus, the desirable regions can be preserved in the target image and the structural consistency of the input image is naturally maintained. experiments on two publicly available data sets demonstrate the effectiveness of the proposed method. (c) 2014 published by elsevier b.v. |
WOS标题词 | science & technology ; technology |
类目[WOS] | computer science, artificial intelligence |
研究领域[WOS] | computer science |
关键词[WOS] | salient region detection ; visual-attention ; small displays ; model ; segmentation ; color |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000332805700037 |
公开日期 | 2015-03-18 |
源URL | [http://ir.opt.ac.cn/handle/181661/22406] ![]() |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
作者单位 | 1.Northwestern Polytech Univ, Xian 710072, Shaanxi, Peoples R China 2.Chinese Acad Sci, Ctr Opt IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Qi,Yuan, Yuan. Learning to resize image[J]. neurocomputing,2014,131:357-367. |
APA | Wang, Qi,&Yuan, Yuan.(2014).Learning to resize image.neurocomputing,131,357-367. |
MLA | Wang, Qi,et al."Learning to resize image".neurocomputing 131(2014):357-367. |
入库方式: OAI收割
来源:西安光学精密机械研究所
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