SRAFE:Siamese Regression Aesthetic Fusion Evaluation for Chinese Calligraphic Copy

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

作者机构：Central South UniversityChangshaChina Hunan Xiangjiang Artificial Intelligence AcademyChangshaChina University of OkaraOkaraPakistan 

出 版 物：《CAAI Transactions on Intelligence Technology》 (智能技术学报（英文）)

年 卷 期：2023年第8卷第3期

页      面：1077-1086页

核心收录：

学科分类：0810[工学-信息与通信工程] 1205[管理学-图书情报与档案管理] 1304[艺术学-美术学] 13[艺术学] 0839[工学-网络空间安全] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：calligraphy evaluation hand‐crafted aesthetic features siamese regression network 

摘      要：Evaluation of calligraphic copy is the core of Chinese calligraphy appreciation and ***,previous aesthetic evaluation studies often focussed on photos and paintings,with few attempts on Chinese *** 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 ***,a dataset termed Evaluated Chinese Calligraphy Copies(E3C)is constructed for aesthetic ***,12 hand‐crafted aesthetic features based on the shape,structure,and stroke of calligraphy are ***,the Siamese regression network(SRN)is designed to extract the deep aesthetic representation of ***,the SRAFE method is built by fusing the deep aesthetic features with the hand‐crafted aesthetic *** results show that scores given by SRAFE are similar to the aesthetic evaluation label of E3C,proving the effectiveness of the authors’method.