Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation
Wang, Jinqiao1; Qu, Zhan2; Chen, Yingying1; Mei, Tao3; Xu, Min4; Zhang, La1; Lu, Hanqing1; Jinqiao Wang
2016-11-01
发表期刊IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
卷号26期号:11页码:2079-2092
文章类型Article
摘要An ideal thumbnail generator should effectively condense unimportant regions and keep the important content undeformed, completed, and at a proper scale, i.e., accuracy, completeness, and sufficiency. Each retargeting method has its own advantage for resizing arbitrary images. However, they often ignore the completeness and sufficiency for information presentation in thumbnails. In this paper, we formulate thumbnail generation as an image content condensation problem and propose a unified grid optimization framework to fuse multiple operators. From the view of accuracy, completeness, and sufficiency for information presentation, we exploit complementary relationships among three condensation operators and fuse them into a unified grid-based convex programming problem, which could be solved simultaneously and efficiently through numerical optimization. Besides warping energy to preserve the geometric structure of important objects, we put forward two grid-based energy terms to keep the completeness of important objects and retain them at a proper size. Finally, an adaptive procedure is proposed to dynamically adjust the contribution of loss functions for achieving optimal content condensation. Both qualitative and quantitative comparison results demonstrate that the proposed method achieves an excellent tradeoff among accuracy, completeness, and sufficiency of information preservation. The experimental results show that our approach is obviously superior to the state-of-the-art techniques.
关键词Image Browsing Image Resizing Image Retargeting Thumbnail Generation
WOS标题词Science & Technology ; Technology
DOI10.1109/TCSVT.2015.2493500
关键词[WOS]SALIENT REGION DETECTION ; QUALITY ASSESSMENT ; MODEL
收录类别SCI
语种英语
项目资助者863 Program(2014AA015104) ; National Natural Science Foundation of China(61273034 ; 61332016)
WOS研究方向Engineering
WOS类目Engineering, Electrical & Electronic
WOS记录号WOS:000387894100008
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/11073
专题模式识别国家重点实验室_图像与视频分析
通讯作者Jinqiao Wang
作者单位1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
2.Huawei Technol Co Ltd, Media Lab, Shenzhen 518129, Peoples R China
3.Microsoft Res Asia, Beijing 100080, Peoples R China
4.Univ Technol Sydney, Global Big Data Technol Ctr, Sydney, NSW 2007, Australia
推荐引用方式
GB/T 7714
Wang, Jinqiao,Qu, Zhan,Chen, Yingying,et al. Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2016,26(11):2079-2092.
APA Wang, Jinqiao.,Qu, Zhan.,Chen, Yingying.,Mei, Tao.,Xu, Min.,...&Jinqiao Wang.(2016).Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,26(11),2079-2092.
MLA Wang, Jinqiao,et al."Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 26.11(2016):2079-2092.
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
Adaptive Content Con(3335KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
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
[Wang, Jinqiao]的文章
[Qu, Zhan]的文章
[Chen, Yingying]的文章
百度学术
百度学术中相似的文章
[Wang, Jinqiao]的文章
[Qu, Zhan]的文章
[Chen, Yingying]的文章
必应学术
必应学术中相似的文章
[Wang, Jinqiao]的文章
[Qu, Zhan]的文章
[Chen, Yingying]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation.pdf
格式: Adobe PDF
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。