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A comprehensive review of image retargeting

文献类型：期刊论文

作者Fan, Xiaoting1; Zhang, Zhong1; Sun, Long4; Xiao, Baihua3; Durrani, Tariq S.2
刊名NEUROCOMPUTING
出版日期2024-04-28
卷号579页码:18
关键词Image retargeting Stereoscopic image Discrete method Continuous method Deep learning
ISSN号0925-2312
DOI10.1016/j.neucom.2024.127416
通讯作者Zhang, Zhong(zhong.zhang8848@gmail.com)
英文摘要With the development of display technologies, image retargeting plays a significant role in computer vision and pattern recognition communities currently. Image retargeting aims to display an image on a series of appliances with different resolutions and target aspect ratios. During the last decade, representative algorithms for image retargeting have been presented in the literature and achieved state-of-the-art performance. In this survey, we provide a comprehensive review of image retargeting, covering a wide variety of pioneering works for 2D image retargeting and stereoscopic image retargeting. 2D image retargeting focuses on preserving interesting regions when modifying the original image with arbitrary resolutions appropriately. Different from 2D image retargeting, stereoscopic image retargeting needs to preserve both the shape structure of salient objects and the depth consistency of 3D scenes simultaneously. In this survey, we start the first attempt to analyze the trends of 2D image retargeting and then summarize different types of stereoscopic image retargeting. Secondly, image retargeting quality assessment metrics for 2D images and stereoscopic images are introduced to evaluate retargeted images. Thirdly, we also investigate the evaluation datasets, and give the comparison results and analysis between different representative methods. Finally, the promising future research is thoroughly discussed to further improve the performance of 2D and stereoscopic image retargeting.
WOS关键词CONVOLUTIONAL NEURAL-NETWORK ; SALIENT OBJECT DETECTION ; QUALITY EVALUATION
资助项目Natural Science Foundation of Tianjin[22JCQNJC00010] ; Scientific Research Project of Tianjin Educational Committee[2022KJ011] ; National Natural Science Foundation of China[62171321]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:001188345500001
出版者ELSEVIER
资助机构Natural Science Foundation of Tianjin ; Scientific Research Project of Tianjin Educational Committee ; National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/56927]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_影像分析与机器视觉团队
通讯作者Zhang, Zhong
作者单位1.Tianjin Normal Univ, Tianjin Key Lab Wireless Mobile Commun & Power Tra, Tianjin 300387, Peoples R China
2.Univ Strathclyde, Dept Elect & Elect Engn, Glasgow, Scotland
3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
4.Tianjin Univ Commerce, Sch Informat Engn, Tianjin 300134, Peoples R China
推荐引用方式
GB/T 7714		 Fan, Xiaoting,Zhang, Zhong,Sun, Long,et al. A comprehensive review of image retargeting[J]. NEUROCOMPUTING,2024,579:18.
APA Fan, Xiaoting,Zhang, Zhong,Sun, Long,Xiao, Baihua,&Durrani, Tariq S..(2024).A comprehensive review of image retargeting.NEUROCOMPUTING,579,18.
MLA Fan, Xiaoting,et al."A comprehensive review of image retargeting".NEUROCOMPUTING 579(2024):18.

入库方式： OAI收割

来源：自动化研究所

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