标题:Non-uniform Mesh Warping for Content-Aware Image Retargeting
作者:Bao, Huiyun; Li, Xueqing
通讯作者:Bao, H
作者机构:[Bao, Huiyun; Li, Xueqing] Shandong Univ, Sch Comp Sci & Technol, Jinan 250101, Shandong, Peoples R China.
会议名称:8th International Conference on Image Analysis and Recognition (ICIAR)/International Conference on Autonomous and Intelligent Systems (AIS)
会议日期:JUN 22-24, 2011
来源:IMAGE ANALYSIS AND RECOGNITION: 8TH INTERNATIONAL CONFERENCE, ICIAR 2011, PT I
出版年:2011
卷:6753
期:PART 1
页码:262-273
DOI:10.1007/978-3-642-21593-3_27
关键词:Image retargeting; sampling mesh vertices; non-uniform mesh warping;; patch-linking scheme
摘要:Image retargeting is the process of adapting an existing image to display with arbitrary sizes and aspect ratios. A compelling retargeting method aims at preserving the viewers' experience by maintaining the significant regions in the image. In this paper, we present a novel image retargeting method based on non-uniform mesh warping, which can effectively preserve both the significant regions and the global configuration of the image. The main idea of our method is sampling mesh vertices based on the saliency map, that is to say, we place mesh vertices more densely in the significant regions, defining different quadratic error metrics to measure image distortion and adopting a patch-linking scheme that can better preserve the global visual effect of the entire image. Moreover, to increase efficiency, we formulate the image retargeting as a quadratic minimization problem carried out by solving linear systems. Our experimental results verify its effectiveness.
收录类别:CPCI-S;EI;SCOPUS
WOS核心被引频次:1
Scopus被引频次:2
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960303663&doi=10.1007%2f978-3-642-21593-3_27&partnerID=40&md5=d7812462e5e22853cd77cd15fc249892
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