CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Orientation judgment for abstract paintings
Liu, Jia1,2; Dong, Weiming2; Zhang, Xiaopeng2; Jiang, Zhiguo3
Source PublicationMULTIMEDIA TOOLS AND APPLICATIONS
2017
Volume76Issue:1Pages:1017-1036
SubtypeArticle
AbstractArtists 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.
KeywordAbstract Paintings Image Classification Feature Extraction Orientation Judgment Art Theory
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s11042-015-3104-5
WOS KeywordPOLLOCKS DRIP PAINTINGS
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61172104)
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000392292000044
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13028
Collection模式识别国家重点实验室_多媒体计算与图形学
Corresponding AuthorLiu, Jia
Affiliation1.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
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
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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