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Su Style Embroidery and Buddhist Culture
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作者 SUN PEILAN CHEN SHANSHAN 《Women of China》 1995年第11期45-46,共2页
SINCE Buddhism was brought to China from India in A.D. 67, it has exerted a great influence on China’s traditional culture. Early in the Three Kingdoms period (A.D.220-265), Jianye (now Nanjing), was the capital of t... SINCE Buddhism was brought to China from India in A.D. 67, it has exerted a great influence on China’s traditional culture. Early in the Three Kingdoms period (A.D.220-265), Jianye (now Nanjing), was the capital of the Wu kingdom. It was located in the south of the lower reaches of the Changjiang River, and became the center for Buddhist activities in the south. Up to the Northern and Southern Dynasties (A.D.420-589), rulers of the Southern Dynasties mainly believed in Buddhism. 展开更多
关键词 Su Style embroidery and Buddhist culture
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Qinghai Embroidery Classification System and Intelligent Classification Research
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作者 Xiaofei Lin Zhonglin Ye Haixing Zhao 《国际计算机前沿大会会议论文集》 EI 2023年第2期174-190,共17页
.Qinghai embroidery is an artistic treasure of folk embroidery in Qing-hai Province.Classifying them to understand the differences between them is an important task.However,currently,there is a lack of a systematic cl... .Qinghai embroidery is an artistic treasure of folk embroidery in Qing-hai Province.Classifying them to understand the differences between them is an important task.However,currently,there is a lack of a systematic classifi-cation method for Qinghai embroidery.First,by studying the history of Qinghai embroidery and a large number of Qinghai embroidery patterns,this paper divides Qinghai embroidery patterns into three categories:animals and plants,auspicious meanings,and geometric decoration.This method breaks through the regional classification system for the Qinghai embroidery.Second,this article utilizes four CNN models to classify the Qinghai embroidery datasets,exploring the differ-ences in the classification of Qinghai embroidery by different models andfinding the optimal classification model.The results show that the GoogLeNet model per-forms the best in the classification of Qinghai embroidery images,achieving the highest accuracy rate.This is mainly due to the small size of the Qinghai embroi-dery datasets and the application of the Inception structure and batch normalization technology in the GoogLeNet model,enabling it to better extract features and clas-sify Qinghai embroidery images.Through this research,we can provide a certain reference and assistance for the classification of Qinghai embroidery images and provide technical support for the protection and inheritance of cultural heritage. 展开更多
关键词 Qinghai embroidery culture Convolutional Neural Network Image Classification
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