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Shrink image by feature matrix decomposition
Wang, Qi1; Li, Xuelong2
作者部门光学影像学习与分析中心
2014-09-22
发表期刊NEUROCOMPUTING
ISSN0925-2312
卷号140页码:162-171
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.
文章类型Article
关键词Computer Vision Machine Learning Image Resizing Seam Carving Low-rank Representation Sparse Coding
WOS标题词Science & Technology ; Technology
DOI10.1016/j.neucom.2014.03.025
收录类别SCI ; EI
关键词[WOS]SALIENT REGION DETECTION ; SEGMENTATION ; CONTRAST
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000337775400017
引用统计
被引频次:6[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/22397
专题光谱成像技术研究室
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
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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.
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