An effective method to detect and categorize digitized traditional Chinese paintings

doi:10.1016/j.patrec.2005.10.017

	An effective method to detect and categorize digitized traditional Chinese paintings
	Jiang, SQ ; Huang, QM ; Ye, QX ; Gao, W
	2006-05-01
发表期刊	PATTERN RECOGNITION LETTERS
ISSN	0167-8655
卷号	27 期号:7 页码:734-746
摘要	Traditional Chinese painting (TCP) is the gem of Chinese traditional arts. More and more TCP images are digitized and exhibited on the Internet. Effectively browsing and retrieving them is an important problem that needs to be addressed. Gongbi (traditional Chinese realistic painting) and Xieyi (freehand style) are two basic types of traditional Chinese paintings. This paper proposes a scheme to detect TCPs from general images and categorize them into Gongbi and Xieyi schools. Low-level features such as color histogram, color coherence vectors, autocorrelation texture features and the newly proposed edge-size histogram are used to achieve the high-level classification. Support vector machine (SVM) is applied as the main classifier to obtain satisfactory classification results. Experimental results show the effectiveness of the method. (c) 2005 Elsevier B.V. All rights reserved.
关键词	traditional Chinese painting image classification edge-size histogram
DOI	10.1016/j.patrec.2005.10.017
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000236631000005
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：49[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/10454
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Jiang, SQ
作者单位	1.Chinese Acad Sci, Comp Technol Inst, Beijing 100080, Peoples R China 2.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China
推荐引用方式 GB/T 7714	Jiang, SQ,Huang, QM,Ye, QX,et al. An effective method to detect and categorize digitized traditional Chinese paintings[J]. PATTERN RECOGNITION LETTERS,2006,27(7):734-746.
APA	Jiang, SQ,Huang, QM,Ye, QX,&Gao, W.(2006).An effective method to detect and categorize digitized traditional Chinese paintings.PATTERN RECOGNITION LETTERS,27(7),734-746.
MLA	Jiang, SQ,et al."An effective method to detect and categorize digitized traditional Chinese paintings".PATTERN RECOGNITION LETTERS 27.7(2006):734-746.