Orientation judgment for abstract paintings

doi:10.1007/s11042-015-3104-5

	Orientation judgment for abstract paintings
	Liu, Jia 1,2; Dong, Weiming2 ; Zhang, Xiaopeng2 ; Jiang, Zhiguo 3
发表期刊	MULTIMEDIA TOOLS AND APPLICATIONS
	2017
卷号	76 期号:1 页码:1017-1036
文章类型	Article
摘要	Artists decide the orientation at which an abstract painting should be hung based on their ideas, but the correct orientation is not obvious to other viewers. Some studies have found that abstract paintings at the correct orientations generally get higher aesthetic ratings from viewers. This encourages us to deal with the problem of orientation judgment for abstract paintings through machine learning. First, we design a group of methods to extract features from paintings based on the theories in abstract art. Then a machine leaning framework is proposed using Naive Bayes classifier and BP neural network classifier for training and orientation testing. Experiments show that it can classify abstract paintings into up and non-up ones with performance comparable to human. This is the first work of orientation judgment for abstract paintings through computer simulation, and the results demonstrate the validity of abstract art theories used for feature definition. This work provides a new scheme for exploring the relationship between aesthetic quality of abstract paintings and their computational visual features.
关键词	Abstract Paintings Image Classification Feature Extraction Orientation Judgment Art Theory
WOS标题词	Science & Technology ; Technology
DOI	10.1007/s11042-015-3104-5
关键词[WOS]	POLLOCKS DRIP PAINTINGS
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(61172104)
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000392292000044
引用统计	被引频次：9[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/173211/13028
专题	多模态人工智能系统全国重点实验室_多媒体计算
通讯作者	Liu, Jia
作者单位	1.Beijing Informat Sci & Technol Univ, Sch Automat, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Automat, LIAMA NLPR, Beijing, Peoples R China 3.Beihang Univ, Sch Astronaut, Image Proc Ctr, Beijing, Peoples R China
第一作者单位	模式识别国家重点实验室
通讯作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Liu, Jia,Dong, Weiming,Zhang, Xiaopeng,et al. Orientation judgment for abstract paintings[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2017,76(1):1017-1036.
APA	Liu, Jia,Dong, Weiming,Zhang, Xiaopeng,&Jiang, Zhiguo.(2017).Orientation judgment for abstract paintings.MULTIMEDIA TOOLS AND APPLICATIONS,76(1),1017-1036.
MLA	Liu, Jia,et al."Orientation judgment for abstract paintings".MULTIMEDIA TOOLS AND APPLICATIONS 76.1(2017):1017-1036.

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