Abstract
Chinese characters are an unavoidable information carrier for carrying and disseminating Chinese culture. At the same time, calligraphy, as an unavoidable important part of art, has a broader space for development. The purpose of this article is to use big data technology to study the application of calligraphy art in modern digital media. It mainly introduces the research and application background of calligraphy art in modern digital media, and analyzes the application status of Chinese calligraphy art platforms based on big data. Starting from big data and modern digital media, with the help of the Internet and big data analysis platforms, it can realize user behavior data. Collection, visual display. Analyze the visits of calligraphy art websites and the source of user visits of calligraphy art websites respectively. The experimental results show that the direct access rate of calligraphy art websites and the access rate of direct search for “calligraphy art” related keywords are both close together. At the level of 65%, the application effect of the art of description method in modern digital media is better.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hernandez, S.: Case study: digitising cleveland museum of art history one negative at a time. J. Dig. Media Manag. 6(4), 327–338 (2018)
Wang, Z., Lian, J., Song, C., et al.: CSRS: a Chinese seal recognition system with multi-task learning and automatic background generation. IEEE Access PP(99), 1 (2019)
Hung, C.C.: A study on a content-based image retrieval technique for Chinese paintings. Electron. Libr. 36(1), 172–188 (2018)
McDonald, J.M., et al. Moving to the cloud: the state of the art for cloud-based production pipelines. J. Dig. Media Manag. 6(3), 215–230 (2018)
Lai, W.S., Lin, Y.B., Hsiao, C.Y., et al.: FrameTalk: human and picture frame interaction through the IoT technology. Mob. Netw. Appl. 24(5), 1475–1485 (2019)
Sayre, L.: The art of hip-hop in digital media. Writ. Waves 1(1), 17 (2019)
Silva, D.A.E., Camargogrillo, S.V.D.: New paths for science: a contrastive discourse analysis of modifications in popularizing science through digital media. Bakhtiniana Revista de Estudos do Discurso 14(1), 54–81 (2019)
Zhang, J.: A survey of digital calligraphy. Scientia Sinica Informationis 49(2), 143–158 (2019)
Fei, C., Huang, Y., Xin, Z., et al.: A robot calligraphy system: From simple to complex writing by human gestures. Eng. Appl. Artif. Intell. 59, 1–14 (2017)
Moreno, L.: Museums and digital era: preserving art through databases. Collect. Build. 38(4), 89–93 (2019)
Horáková, J.: Listening to art on a seabed. Musicol. Brun. 52(1), 155–168 (2017)
Khakzand, M., Babaei, S.: Developing a new method for the architectural design process: an experimental study using found-object art in the design studio. Des. J. 21(2), 209–225 (2018)
Acknowledgements
Outside the school sketch practical training teaching team (Excellent offline course project of Teaching Quality Project of Anhui Education Department, Item number: 2018jxtd163).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Jiang, J., Huang, K. (2022). Using Big Data Technology to Analyze the Application of Calligraphy Art in Modern Digital Media. In: Tian, Y., Ma, T., Khan, M.K., Sheng, V.S., Pan, Z. (eds) Big Data and Security. ICBDS 2021. Communications in Computer and Information Science, vol 1563. Springer, Singapore. https://doi.org/10.1007/978-981-19-0852-1_30
Download citation
DOI: https://doi.org/10.1007/978-981-19-0852-1_30
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-0851-4
Online ISBN: 978-981-19-0852-1
eBook Packages: Computer ScienceComputer Science (R0)