Customized Summarizations of Visual Data Collections
Yuan, Mengke1,2; Ghanem, Bernard3; Yan, Dong-Ming1,2; Wu, Baoyuan4,5,6; Zhang, Xiaopeng1,2; Wonka, Peter3
发表期刊COMPUTER GRAPHICS FORUM
ISSN0167-7055
2021-07-12
页码24
通讯作者Wonka, Peter(peter.wonka@kaust.edu.sa)
摘要We propose a framework to generate customized summarizations of visual data collections, such as collections of images, materials, 3D shapes, and 3D scenes. We assume that the elements in the visual data collections can be mapped to a set of vectors in a feature space, in which a fitness score for each element can be defined, and we pose the problem of customized summarizations as selecting a subset of these elements. We first describe the design choices a user should be able to specify for modeling customized summarizations and propose a corresponding user interface. We then formulate the problem as a constrained optimization problem with binary variables and propose a practical and fast algorithm based on the alternating direction method of multipliers (ADMM). Our results show that our problem formulation enables a wide variety of customized summarizations, and that our solver is both significantly faster than state-of-the-art commercial integer programming solvers and produces better solutions than fast relaxation-based solvers.
关键词human-computer interfaces interaction information visualization visualization
DOI10.1111/cgf.14336
关键词[WOS]EXPLORATION
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[62071157] ; National Natural Science Foundation of China[61620106003] ; National Natural Science Foundation of China[61772523] ; National Natural Science Foundation of China[61972459] ; KAUST Baseline Funding ; China Postdoctoral Science Foundation[2020M680754] ; Open Project Program of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University[VRLAB2020C03] ; Tencent AI Lab Rhino-Bird Focused Research Program[JR202023]
项目资助者National Natural Science Foundation of China ; KAUST Baseline Funding ; China Postdoctoral Science Foundation ; Open Project Program of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University ; Tencent AI Lab Rhino-Bird Focused Research Program
WOS研究方向Computer Science
WOS类目Computer Science, Software Engineering
WOS记录号WOS:000672172000001
出版者WILEY
七大方向——子方向分类模式识别基础
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/45275
专题多模态人工智能系统全国重点实验室_三维可视计算
通讯作者Wonka, Peter
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, 95 East Zhongguancun Rd, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, 19 A Yuquan Rd, Beijing 100149, Peoples R China
3.King Abdullah Univ Sci & Technol, CEMSE, Thuwal 239556900, Saudi Arabia
4.Chinese Univ Hong Kong, Sch Data Sci, 2001 Longxiang Rd, Shenzhen, Peoples R China
5.Shenzhen Res Inst Big Data, Secure Comp Lab Big Data, 2001 Longxiang Rd, Shenzhen, Peoples R China
6.Tencent AI Lab, Shenzhen, Peoples R China
第一作者单位模式识别国家重点实验室
推荐引用方式
GB/T 7714
Yuan, Mengke,Ghanem, Bernard,Yan, Dong-Ming,et al. Customized Summarizations of Visual Data Collections[J]. COMPUTER GRAPHICS FORUM,2021:24.
APA Yuan, Mengke,Ghanem, Bernard,Yan, Dong-Ming,Wu, Baoyuan,Zhang, Xiaopeng,&Wonka, Peter.(2021).Customized Summarizations of Visual Data Collections.COMPUTER GRAPHICS FORUM,24.
MLA Yuan, Mengke,et al."Customized Summarizations of Visual Data Collections".COMPUTER GRAPHICS FORUM (2021):24.
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