Aesthetic Visual Style Assessment on Dunhuang Murals

doi:10.1007/s12204-014-1473-y

上海交通大学学报（英文版） ›› 2014, Vol. 19 ›› Issue (1): 28-34.doi: 10.1007/s12204-014-1473-y

Aesthetic Visual Style Assessment on Dunhuang Murals

YANG Bing1 (杨冰), XU Duan-qing1* (许端清), TANG Da-wei1 (唐大伟),YANG Xin2 (杨鑫), ZHAO Lei1 (赵磊)

(1. College of Computer Science, Zhejiang University, Hangzhou 310027, China; 2. College of Computer Science, Dalian University of Technology, Dalian 116024, Liaoning, China)

出版日期:2014-01-15 发布日期:2014-01-15
通讯作者: XU Duan-qing (许端清) E-mail: xdq@zju.edu.cn

Aesthetic Visual Style Assessment on Dunhuang Murals

YANG Bing1 (杨冰), XU Duan-qing1* (许端清), TANG Da-wei1 (唐大伟),YANG Xin2 (杨鑫), ZHAO Lei1 (赵磊)

(1. College of Computer Science, Zhejiang University, Hangzhou 310027, China; 2. College of Computer Science, Dalian University of Technology, Dalian 116024, Liaoning, China)

Online:2014-01-15 Published:2014-01-15
Contact: XU Duan-qing (许端清) E-mail: xdq@zju.edu.cn

摘要/Abstract

摘要： Dunhuang murals are gems of Chinese traditional art. This paper demonstrates a simple, yet powerful method to automatically identify the aesthetic visual style that lies in Dunhuang murals. Based on the art knowledge on Dunhuang murals, the method explicitly predicts some of possible image attributes that a human might use to understand the aesthetic visual style of a mural. These cues fall into three broad types: composition attributes related to mural layout or configuration; color attributes related to color types depicted; brightness attributes related to bright conditions. We show that a classifier trained on these attributes can provide an efficient way to predict the aesthetic visual style of Dunhuang murals.

关键词: Dunhuang murals, aesthetic visual style, feature descriptors

Abstract: Dunhuang murals are gems of Chinese traditional art. This paper demonstrates a simple, yet powerful method to automatically identify the aesthetic visual style that lies in Dunhuang murals. Based on the art knowledge on Dunhuang murals, the method explicitly predicts some of possible image attributes that a human might use to understand the aesthetic visual style of a mural. These cues fall into three broad types: composition attributes related to mural layout or configuration; color attributes related to color types depicted; brightness attributes related to bright conditions. We show that a classifier trained on these attributes can provide an efficient way to predict the aesthetic visual style of Dunhuang murals.

Key words: Dunhuang murals, aesthetic visual style, feature descriptors

中图分类号:

TP 391.41

YANG Bing1 (杨冰), XU Duan-qing1* (许端清), TANG Da-wei1 (唐大伟),YANG Xin2 (杨鑫), ZHAO. Aesthetic Visual Style Assessment on Dunhuang Murals[J]. 上海交通大学学报（英文版）, 2014, 19(1): 28-34.

YANG Bing1 (杨冰), XU Duan-qing1* (许端清), TANG Da-wei1 (唐大伟),YANG Xin2 (杨鑫), ZHAO Lei1 (赵磊). Aesthetic Visual Style Assessment on Dunhuang Murals[J]. Journal of shanghai Jiaotong University (Science), 2014, 19(1): 28-34.

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Aesthetic Visual Style Assessment on Dunhuang Murals

Aesthetic Visual Style Assessment on Dunhuang Murals

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