A fast hybrid retargeting scheme with seam context and content aware strip partition
Wu, Lifang1; Yan, Chuncan1; Jian, Meng1; Liu, Shuang1; Dong, Weiming2; Chen, Chang Wen3
2018-04-19
发表期刊NEUROCOMPUTING
卷号286页码:198-213
文章类型Article
摘要Image retargeting as a basic trick has been successfully applied to various computer vision problems. In this work, we propose a fast non-continuous seam carving with seam context (FN2SC) for robust and efficient image retargeting. FN2SC first conducts content aware image partition to separate an image into several strips with different tar get sizes from their content importance. It helps the removed seams in key objects distribute in a relatively uniform manner and prevents distortions to key objects. Then FN2SC performs fast non-continuous seam carving controlled by seam context of both neighboring relationship and touch bound relationship of seams. The seam context makes the removed seams distribute scattered and relieves artifacts caused by seam carving. During seam carving, image distortion is monitored by fast content aware image distance. Finally, FN2SC switches seam carving to scaling when the distortion meets the tolerance, which resizes the strips to the target sizes for image retargeting. Specifically, fast seam searching and image distortion based switching make FN2SC a fast and effective hybrid scheme. Experimental results demonstrate that the proposed FN2SC approach achieves good performance in terms of image quality and efficiency comprehensively. (c) 2018 Elsevier B.V. All rights reserved.
关键词Non-continuous Seam Carving Seam Context Content Aware Strip Partition Seam Distribution Fast Content Aware Image Distance
WOS标题词Science & Technology ; Technology
DOI10.1016/j.neucom.2018.01.058
关键词[WOS]QUALITY ASSESSMENT ; STRUCTURAL SIMILARITY ; SALIENCY DETECTION ; ADAPTIVE IMAGE ; MODEL
收录类别SCI
语种英语
项目资助者Beijing Municipal Education Commission Science and Technology Innovation Project(KZ201610005012) ; National Natural Science Foundation of China(61702022) ; China Postdoctoral Science Foundation(2017M610026) ; Beijing Postdoctoral Research Foundation(2017-ZZ-032)
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000426425700019
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/21980
专题模式识别国家重点实验室_多媒体计算与图形学
作者单位1.Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
3.SUNY Buffalo, Dept Comp Sci & Engn, Buffalo, NY USA
推荐引用方式
GB/T 7714
Wu, Lifang,Yan, Chuncan,Jian, Meng,et al. A fast hybrid retargeting scheme with seam context and content aware strip partition[J]. NEUROCOMPUTING,2018,286:198-213.
APA Wu, Lifang,Yan, Chuncan,Jian, Meng,Liu, Shuang,Dong, Weiming,&Chen, Chang Wen.(2018).A fast hybrid retargeting scheme with seam context and content aware strip partition.NEUROCOMPUTING,286,198-213.
MLA Wu, Lifang,et al."A fast hybrid retargeting scheme with seam context and content aware strip partition".NEUROCOMPUTING 286(2018):198-213.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Wu, Lifang]的文章
[Yan, Chuncan]的文章
[Jian, Meng]的文章
百度学术
百度学术中相似的文章
[Wu, Lifang]的文章
[Yan, Chuncan]的文章
[Jian, Meng]的文章
必应学术
必应学术中相似的文章
[Wu, Lifang]的文章
[Yan, Chuncan]的文章
[Jian, Meng]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。