Classification of traditional Chinese paintings using a modified embedding algorithm

Sheng, Jiachuan; Li, Yuzhi

doi:10.1117/1.jei.28.2.023013

Cited by 9 publications

(5 citation statements)

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“…Sheng J C applied deep learning to the segmentation of artistic objects in traditional Chinese painting in his research [13].…”

Section: Neural Network Training In Deep Learning Algorithmsmentioning

confidence: 99%

Interactive art design with deep learning and information fusion technology

Zhu

2023

International Workshop on Signal Processing and Machine Learning (WSPML 2023)

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“…Sheng J C applied deep learning to the segmentation of artistic objects in traditional Chinese painting in his research [13].…”

Section: Neural Network Training In Deep Learning Algorithmsmentioning

confidence: 99%

Interactive art design with deep learning and information fusion technology

Zhu

2023

International Workshop on Signal Processing and Machine Learning (WSPML 2023)

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“…However, distinguishing more species makes it increasingly difficult with this method. Sheng and Li [24] propose a convolutional neural network-(CNN-) based feature description, feature-weighted, and feature-prioritized algorithm to classify the artist of TCP; the accuracies range from 81% to 96%. Thus, the classification method for style used deeply learned feature to achieve overwhelmingly better classification performances.…”

Section: Image Aggregation Databasementioning

confidence: 99%

Distinguishing Hand Drawing Style Based on Multilevel Analytics Framework

2020

Wireless Communications and Mobile Computing

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Hand drawing is an indispensable professional skill in the fields of environmental design, industrial design, architectural engineering, civil engineering, and other engineering design education. Students usually imitate masterpieces to practice basic skills, which is an important link for a beginner. A system for digital management requires a function for an automatic recommendation task of different brushwork skill expressions. Thus, the classification method for brushwork is to combine hand-crafted features generated by DCNN and then use the final features for input to a tree structure classification scheme. The method improvement of the other deep learning models has effectiveness in distinguishing art ontology attributes.

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“…The color system of Chinese painting is very elegant and colorful. According to the subject matter, Chinese painting can be roughly divided into three categories: figure painting, landscape painting, flower and bird painting [3][4].…”

Section: Introductionmentioning

confidence: 99%

The Creative Presentation of Color Elements in Chinese Painting Art under the View of Information Technology

Lei

2024

Applied Mathematics and Nonlinear Sciences

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In this paper, Chinese paintings are scanned using a scanner under the same light conditions, and RGB format files are obtained. In order to ensure the accuracy of extracting the color elements of Chinese paintings through HSV color conversion of RGB format files and color-cutting processing based on fuzzy C-mean clustering on the premise of the extracted color elements, we explain in detail the application of the color elements of the art of Chinese paintings in the presentation of the creativity and the value of the Chinese painting art and carry out an example of analysis of the color elements of the art of Chinese paintings. The data shows that the highest choice of males for the perception of color elements in Chinese painting art is the “blue and yellow” option number of people accounting for 64.5% of the total. In contrast, the females in the color combination of the most choices with the same as the males, but accounted for a higher 71.5%, indicating that there is a difference between the perception of color elements in the art of Chinese painting for boys and girls, which sets out the differences in the perception of color elements in Chinese painting art for boys and girls. Boys and girls have different aesthetic views on the inventiveness of color elements in Chinese painting art, as evidenced by this. This study promotes the improvement of visual expression and creative presentation of color elements in Chinese painting art. Also, it has theoretical guidance value for the research and development of Chinese painting art information.

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Classification of traditional Chinese paintings using a modified embedding algorithm

Cited by 9 publications

References 0 publications

Interactive art design with deep learning and information fusion technology

Interactive art design with deep learning and information fusion technology

Distinguishing Hand Drawing Style Based on Multilevel Analytics Framework

The Creative Presentation of Color Elements in Chinese Painting Art under the View of Information Technology

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