Shrink image by feature matrix decomposition
文献类型：期刊论文
| 作者 | Wang, Qi1; Li, Xuelong2
|
| 刊名 | neurocomputing
 |
| 出版日期 | 2014-09-22 |
| 卷号 | 140页码:162-171 |
| 关键词 | Computer vision Machine learning Image resizing Seam carving Low-rank representation Sparse coding |
| ISSN号 | 0925-2312 |
| 英文摘要 | with the development of multimedia technology, image resizing has been raised as a question when the aspect ratio of an examined image should be displayed on a device with a different aspect ratio. traditional nonuniform scaling for tackling this problem will lead to distortion. therefore, content-aware consideration is mostly incorporated in the designing procedure. such methods generally defines an energy function indicating the importance level of image content. the more important regions would be retained in the resizing procedure and distortion could be avoided consequently. the definition of the related energy function is thus the critical factor that directly influences the resizing results. in this work, we explore the definition of energy function from another aspect, matrix decomposition of low-rank representation. in our processing, a feature matrix that reflects the texture prior of object contour is firstly constructed. then the matrix is decomposed into a low-rank one and sparse one. the energy function for resizing is then inferred from the sparse one. we illustrate the proposed method through seam carving framework and image shrinkage operation. experiments on a dataset containing 1000 images demonstrate the effectiveness and robustness of the proposed method. (c) 2014 elsevier b.v. all rights reserved. |
| 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 ; segmentation ; contrast |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000337775400017 |
| 公开日期 | 2015-03-18 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/22397]  |
| 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, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian 710072, Shaanxi, Peoples R China 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Qi,Li, Xuelong. Shrink image by feature matrix decomposition[J]. neurocomputing,2014,140:162-171. |
| APA | Wang, Qi,&Li, Xuelong.(2014).Shrink image by feature matrix decomposition.neurocomputing,140,162-171. |
| MLA | Wang, Qi,et al."Shrink image by feature matrix decomposition".neurocomputing 140(2014):162-171. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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