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Using Big Data Technology to Analyze the Application of Calligraphy Art in Modern Digital Media

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Big Data and Security (ICBDS 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1563))

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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.

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References

  1. Hernandez, S.: Case study: digitising cleveland museum of art history one negative at a time. J. Dig. Media Manag. 6(4), 327–338 (2018)

    Google Scholar 

  2. 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)

    Google Scholar 

  3. Hung, C.C.: A study on a content-based image retrieval technique for Chinese paintings. Electron. Libr. 36(1), 172–188 (2018)

    Article  Google Scholar 

  4. 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)

    Google Scholar 

  5. 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)

    Article  Google Scholar 

  6. Sayre, L.: The art of hip-hop in digital media. Writ. Waves 1(1), 17 (2019)

    Google Scholar 

  7. 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)

    Article  Google Scholar 

  8. Zhang, J.: A survey of digital calligraphy. Scientia Sinica Informationis 49(2), 143–158 (2019)

    Article  Google Scholar 

  9. 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)

    Google Scholar 

  10. Moreno, L.: Museums and digital era: preserving art through databases. Collect. Build. 38(4), 89–93 (2019)

    Google Scholar 

  11. Horáková, J.: Listening to art on a seabed. Musicol. Brun. 52(1), 155–168 (2017)

    Article  Google Scholar 

  12. 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)

    Google Scholar 

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Acknowledgements

Outside the school sketch practical training teaching team (Excellent offline course project of Teaching Quality Project of Anhui Education Department, Item number: 2018jxtd163).

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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

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  • DOI: https://doi.org/10.1007/978-981-19-0852-1_30

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0851-4

  • Online ISBN: 978-981-19-0852-1

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