Shrink image by feature matrix decomposition

doi:10.1016/j.neucom.2014.03.025

OPT OpenIR > 光谱成像技术研究室

	Shrink image by feature matrix decomposition
	Wang, Qi 1; 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
ISSN	0925-2312
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
DOI	10.1016/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
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.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Shrink image by feat（2784KB）	期刊论文	出版稿	限制开放	CC BY	请求全文