CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
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
Source PublicationNEUROCOMPUTING
2018-04-19
Volume286Pages:198-213
SubtypeArticle
AbstractImage 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.
KeywordNon-continuous Seam Carving Seam Context Content Aware Strip Partition Seam Distribution Fast Content Aware Image Distance
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.neucom.2018.01.058
WOS KeywordQUALITY ASSESSMENT ; STRUCTURAL SIMILARITY ; SALIENCY DETECTION ; ADAPTIVE IMAGE ; MODEL
Indexed BySCI
Language英语
Funding OrganizationBeijing 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 Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000426425700019
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21980
Collection模式识别国家重点实验室_多媒体计算与图形学
Affiliation1.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
Recommended Citation
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.
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