SRAFE:Siamese Regression Aesthetic Fusion Evaluation for Chinese Calligraphic Copy  

作　　者：Mingwei Sun Xinyu Gong Haitao Nie Muhammad Minhas Iqbal Bin Xie 

机构地区：[1]Central South University,Changsha,China [2]Hunan Xiangjiang Artificial Intelligence Academy,Changsha,China [3]University of Okara,Okara,Pakistan

出　　处：《CAAI Transactions on Intelligence Technology》2023年第3期1077-1086,共10页智能技术学报（英文）

摘　　要：Evaluation of calligraphic copy is the core of Chinese calligraphy appreciation and in-heritance.However,previous aesthetic evaluation studies often focussed on photos and paintings,with few attempts on Chinese calligraphy.To solve this problem,a Siamese regression aesthetic fusion method is proposed,named SRAFE,for Chinese calligraphy based on the combination of calligraphy aesthetics and deep learning.First,a dataset termed Evaluated Chinese Calligraphy Copies(E3C)is constructed for aesthetic evalu-ation.Second,12 hand‐crafted aesthetic features based on the shape,structure,and stroke of calligraphy are designed.Then,the Siamese regression network(SRN)is designed to extract the deep aesthetic representation of calligraphy.Finally,the SRAFE method is built by fusing the deep aesthetic features with the hand‐crafted aesthetic features.Experimental results show that scores given by SRAFE are similar to the aesthetic evaluation label of E3C,proving the effectiveness of the authors’method.

关 键 词：calligraphy evaluation hand‐crafted aesthetic features siamese regression network 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]