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Categorizing Traditional Chinese Painting Images [chapter]

Shuqiang Jiang, Tiejun Huang
2004 Lecture Notes in Computer Science  
This paper proposes a method to categorize them into Gongbi and Xieyi schools, which are two basic types of traditional Chinese paintings.  ...  Traditional Chinese painting ("Guohua") is the gem of Chinese traditional arts. More and more Guohua images are digitized and exhibited on the Internet.  ...  This work was partly supported by China-American Digital Academic Library (CADAL) project, and partly sup-ported by NEC-JDL video analysis and retrieval project.  ... 
doi:10.1007/978-3-540-30541-5_1 fatcat:oljcfkv5fvhindhwomfywnokei

Monte Carlo Convex Hull Model for classification of traditional Chinese paintings

Meijun Sun, Dong Zhang, Zheng Wang, Jinchang Ren, Jesse S. Jin
2016 Neurocomputing  
Chinese paintings and validate its effectiveness via automated classification of Chinese paintings authored by well-known Chinese artists.  ...  In order to ensure an integrated discriminating power and certain level of adaptability to the variety of artistic styles among different artists, we introduce a novel feature selection method to process  ...  Acknowledgments The authors wish to acknowledge the support from the National Natural Science Foundation, China  ... 
doi:10.1016/j.neucom.2015.08.013 fatcat:lemuv4t6ybhk7pf2rmqguxeguq

Style-based classification of Chinese ink and wash paintings

Jiachuan Sheng, Jianmin Jiang
2013 Optical Engineering: The Journal of SPIE  
As IWPs do not have colors or even tones, the proposed algorithm applies edge detection to locate the local region and detect painting strokes to enable histogram-based feature extraction and capture of  ...  Following the fact that a large collection of ink and wash paintings (IWP) is being digitized and made available on the Internet, their automated content description, analysis, and management are attracting  ...  Acknowledgments The authors wish to acknowledge the financial support for the research work under the Chinese National 985 funding provided via Tianjin University, the Grant 61003201 from National Natural  ... 
doi:10.1117/1.oe.52.9.093101 fatcat:enpnvvzv6rdyphnocbaikdjxke

Research on Digital Concept Art Illustrations Style Classification based on Deep Learning [chapter]

Ziyang Li
2024 Advances in Intelligent Systems Research  
Therefore, categorizing these digital resources by art style can help in the intelligent management of digital resource platforms.  ...  With the development of the Internet, a large number of conceptual art pieces have been created in the form of digital images and uploaded to the internet, giving rise to a diverse range of digital image  ...  Figure 2 shows an illustration in the palaeowind style that imitates the smearing style of Chinese traditional painting. Fig. 2 .  ... 
doi:10.2991/978-94-6463-370-2_40 fatcat:rmts4musgrf2bfu5yzrj56ahyy

The Application of RBF Neural Network Model Based on Deep Learning for Flower Pattern Design in Art Teaching

Lijun Xiao, Yan Luo, Arpit Bhardwaj
2022 Computational Intelligence and Neuroscience  
The image classification process is finding and labeling groups of pixels or vectors inside an image based on rules.  ...  Deep learning is a type of machine learning that uses artificial neural networks to replicate the structure and function of the human brain.  ...  As a result, there has been a rise in interest in digital Chinese painting authenticity-assisted veri cation of categorization accuracy and automation and in automated Chinese painting authentication.  ... 
doi:10.1155/2022/4206857 pmid:35733563 pmcid:PMC9208956 fatcat:vsovtuwhhzd4batjijm6vmmh7q

An Innovative Methodology of the Algorithmic Composition Knowledge Base for the Chinese Calligraphy Painting Interaction: from Sonification to Musification

Chih-Fang Huang, Jenny Ren
2022 Journal of Visual Language and Computing  
Thus, an immersive appreciation environment of Chinese Calligraphy Painting can be further developed.  ...  Therefore, the Sonification of Chinese Calligraphy Painting not only provide a free access for the visually impaired and people who are unfamiliar with Chinese to appreciation but also enrich the state  ...  Acknowledgement The authors are appreciative of the support from the Ministry of Science and Technology project of Taiwan: MOST 108-2511-H-424 -001 -MY3.  ... 
doi:10.18293/jvlc2022-n1-015 fatcat:cmvme2pfcrhydj77egwajg4ahm

Digital Image Art Style Transfer Algorithm and Simulation Based on Deep Learning Model

Ziqi Lu, Rahman Ali
2022 Scientific Programming  
In order to solve the problems of poor region delineation and boundary artifacts in Chinese style migration of images, an improved Variational Autoencoder (VAE) method for dress style migration is proposed  ...  Chinese traditional styles to meet the application requirements of dress style migration scenarios.  ...  Reference [8] used modules such as multilayer texture array, Chinese painting lighting model, and extraction of contour lines to draw 3D Chinese painting effect mountain scenes in real time.  ... 
doi:10.1155/2022/8409459 fatcat:6vzfcykw75emxlmgho2ju3ejxm

Identification of Relevant Images from Ancient Paintings using Statistical Distribution

G. G. Naidu, Y. Srinivas
2018 Indian Journal of Science and Technology  
Methods/Statistical Analysis: Conservative Chinese paintings emulate the exquisiteness of Chinese sculpture. Most of these descriptions are digitized and are available in the internet.  ...  The proposed model accomplished over 97% of classification accuracy over a dataset containing 3750 traditional Chinese paintings.  ...  The authors have considered Gongbiand Xieyi, the traditional Chinese paintings and highlighted the need for methodologies for effective classification of these images.  ... 
doi:10.17485/ijst/2018/v11i17/117688 fatcat:v5csi7xrs5eg7aqyzfuaa5zacu

Big Data in Art History: Exploring the Evolution of Dunhuang Artistic Style Through Archaeological Evidence

Weixin Zhu, Xin Du, Kexin Lyu, Zhichen Liu, Shuangshuang Ren, Shiwei Xiao, Dongkwon Seong
2023 Zenodo  
The deep learning algorithm employed demonstrates remarkable precision by accurately predicting both the time period and geographic origins of the Dunhuang caves with an astounding 95% and 94% accuracy  ...  This research employs the power of machine learning, which is the utilization of algorithms to allow computer systems to learn and make predictions or decisions based on data.  ...  and the West but completely different from the traditional Chinese practice of line drawing.  ... 
doi:10.5281/zenodo.10819813 fatcat:foubxk7suzeu7gjcnwifrjitbu

A Novel Spectral Matching Approach for Pigment: Spectral Subsection Identification Considering Ion Absorption Characteristics

Yiyi Liu, Shuqiang Lyu, Miaole Hou, Zhenhua Gao, Wanfu Wang, Xiao Zhou
2020 Remote Sensing  
applicability of proposed method by a Chinese painting and a fresco.  ...  , except for some limitations in detecting white and black pigments.  ...  Furthermore, it is applied to a Chinese painting and a fresco to test the applicability, and the traditional method is also used for comparison.  ... 
doi:10.3390/rs12203415 fatcat:hse6jg2f2vcqpn4x6f73sw76qy

Innovation in Optimization of Virtual Space Experience Using Interactive Engine and Device—Example of a Song Dynasty Landscape Painting

Pei-Ling Wu, Szu-Yu Chen
2020 Sensors and materials  
painting interpretation, (3) three-dimensional computer model and material reconstruction, (4) digital model conversion and modification, and (5) visual effect and interactive outcome optimization using  ...  Thus, the purpose of this study is to establish a preliminary model with a series of operating methods and processes for visual landscape simulation using an appropriate interactive engine to optimize  ...  method can be categorized into freehand drawing  ... 
doi:10.18494/sam.2020.2920 fatcat:awdx2q2rqvb73gqgivcl7gjm4q

Urban Architectural Style Recognition and Dataset Construction Method under Deep Learning of Street View Images: A Case Study of Wuhan

Hong Xu, Haozun Sun, Lubin Wang, Xincan Yu, Tianyue Li
2023 ISPRS International Journal of Geo-Information  
They provide a new approach to supporting traditional architectural style recognition.  ...  Finally, this paper introduces an approach to constructing an urban architectural style dataset by mapping the identified architectural style through continuous street view imagery and vector map data  ...  The methods and techniques of this research can be extended to other fields in the future.  ... 
doi:10.3390/ijgi12070264 fatcat:5b6bompy6vczxf3m4zm7zstndi

ScrollTimes: Tracing the Provenance of Paintings as a Window into History [article]

Wei Zhang, Wong Kam-Kwai, Yitian Chen, Ailing Jia, Luwei Wang, Jian-Wei Zhang, Lechao Cheng, Huamin Qu, Wei Chen
2024 arXiv   pre-print
In collaboration with art historians, we examined the handscroll, a traditional Chinese painting form that provides a rich source of historical data and a unique opportunity to explore history through  ...  Our approach incorporates the application of image processing techniques and language models to extract, validate, and augment elements within handscroll using various cultural heritage databases.  ...  Kelly and Yukio Lippit at Harvard University for their valuable feedback and contribution to this project.  ... 
arXiv:2306.08834v2 fatcat:4ajgqxsbfrhp3g45q65kgapdwi

Art Pricing with Computer Graphic Techniques [article]

Lan Ju, Zhiyong Tu, Changyong Xue
2019 arXiv   pre-print
This paper draws on the digital pictures of auctioned paintings from various renowned artists, and applies the image recognition techniques to measure the variances of lines and colors of these paintings  ...  We then use them as the proxies for the artist's painting effort, and include them in the hedonic regression to test their significance.  ...  It implies that the variances of lines and colors are mutually reinforcing to their influence on the prices of Chinese traditional paintings.  ... 
arXiv:1910.03800v1 fatcat:42uu73e5tzfkpd6fvkwqlhqzcq

Computational aesthetics and applications

Yihang Bo, Jinhui Yu, Kang Zhang
2018 Visual Computing for Industry, Biomedicine, and Art  
Computational aesthetics has been widely applied to many areas, such as photography, fine art, Chinese hand-writing, web design, graphic design, and industrial design.  ...  On generative art, we focus on both fractal art and abstract paintings modeled on well-known artists' styles.  ...  ), National NSFC project (Grant number 61772463) and National NSFC project (Grant number 61572348).  ... 
doi:10.1186/s42492-018-0006-1 pmid:32240390 fatcat:tf3alfoorvarxadbecim5yrnte
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