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Application of Intelligent Image Recognition and Digital Media Art in the Inheritance of Black Pottery Intangible Cultural Heritage

Published: 21 June 2024 Publication History

Abstract

With the development of science and technology, intelligent image recognition and digital media art are gradually applied to the inheritance of intangible cultural heritage. In the inheritance of black pottery, intelligent image recognition can help identify the authenticity and age of black pottery, and digital media art can inject new vitality into black pottery culture. Digital media, which combines digitalization and mediaization, breaks down the limitations of traditional media and provides ideological and technical guarantees for the reconstruction, dissemination, and promotion of intangible cultural heritage protection. Image recognition technology is no longer limited to the auxiliary detection of images; on the contrary, it has become a recording and collection tool. With the promotion and development of science and technology, it can be more widely shared and disseminated in time and space. In this article, the traditional machine learning algorithm and the intelligent learning algorithm are compared in image recognition, and the image information recognition rate, the number of iterations, the training time, and the information loss rate are compared in four aspects. The results have found that, compared with the traditional learning algorithm, the number of iterations of the intelligent learning algorithm is reduced by 20%, the training time is reduced by 40%, the information loss rate is reduced by 6.3%, and the recognition accuracy rate is improved by 6.1%, which showed that under the current technology, intangible cultural heritage can be better inherited, and Chinese culture can be better promoted, so that more people can understand and join in the protection of intangible cultural heritage.

References

[1]
D. Ma and H. G. Kim. 2020. Shape of light: Interactive analysis of digital media art based on processing. TECHART J. Arts Imag. Sci. 7, 4 (2020), 23–29.
[2]
Y. Zhu. 2020. Color management of digital media art images based on image processing. Ingén. Syst. D Inf. 25, 4 (2020), 445–452.
[3]
H. Li. 2018. Mode and practice of innovation and entrepreneurship education in the major of digital media art design. Quart. J. Ind. Pulp Pap. Techn. Assoc. 30, 5 (2018), 219–226.
[4]
Gregory Zinman. 2018. Paik's Etude 1 and the indeterminate origins of digital media art. October 164, 1 (2018), 3--28.
[5]
D. Xu, L. Yang, and J. Zeng. 2017. Movement measurement method for derrick hoisting of offshore platform using image recognition technology. Harbin Gongcheng Daxue Xuebao/J. Harbin Eng. Univ. 38, 11 (2017), 1733–1738.
[6]
Z. Akhtar and A. Rattani. 2017. A face in any form: New challenges and opportunities for face recognition technology. Computer 50, 4 (2017), 80–90.
[7]
C. Sun, L. Wang, and N. Wang. 2021. Image recognition technology in texture identification of marine sediment sonar image. Complexity 2021, 2 (2021), 1–8.
[8]
S. Liu and T. Li. 2020. AVG comprehensive practice reform of digital media art based on fuzzy theory. J. Intell. Fuzzy Syst. 38, 1 (2020), 1–10.
[9]
I. W. Sugita, M. Setini, and Y. Anshori. 2021. Counter hegemony of cultural art innovation against art in digital media. J. Open Innov. Technol. Market Complex. 7, 2 (2021), 1–13.
[10]
W. Kong. 2017. Digital media art design based on human-computer interaction technology in the background of big data. Rev. Facul. Ingen. 32, 14 (2017), 485–489.
[11]
H. Chen. 2017. Research on the application of digital media art in animation control based on Maya MEL language. Acta Techn. CSAV (Ceskoslovensk Akad. Ved.) 62, 1 (2017), 499–507.
[12]
Y. H. Kim, N. Y. Oh, and J. W. Park. 2021. A case study on the digital media exhibition planning and artificial intelligence and data artworks of ISEA 2019. J. Digit. Cont. Soc. 22, 2 (2021), 243–251.
[13]
S. Park. 2019. Application of possible selves using digital media in art therapy. J. Arts Psychother. 15, 2 (2019), 153–178.
[14]
X. Ma, J. Kim, and J. Paik. 2017. The digital application of ink painting techniques: interactive media art using interactive devices. TECHART J. Arts Imag. Sci. 4, 4 (2017), 18–20.
[15]
J. H. Kang. 2021. A study of the visual expansion and immersion of art using digital media—Based on my works and exhibition. Cont. Plus 19, 2 (2021), 95–107.
[16]
W. Huang. 2017. Comparison of the applications of digital media technology in public art design in China and the US. Agro Food Industr. Hi Tech 28, 1 (2017), 2981–2983.
[17]
F. Chen and C. Wang. 2020. Image recognition technology based on cloud computing platform. J. Intell. Fuzzy Syst. 39, 5 (2020), 1–11.
[18]
Hao yan and Xuetao. 2019. The design research of an intelligent vehicle-mounted/maintenance alarm system based on image recognition technology. IOP Conf. Ser.: Earth Environ. Sci. 233, 3 (2019), 32009–32009.
[19]
W. Zou, C. Shen, and G. Yin. 2018. Application of image recognition technology in agricultural production process. Int. Agric. Eng. J. 27, 2 (2018), 318–326.
[20]
I. Evo and A. Avramovi. 2017. Convolutional neural network based automatic object detection on aerial images. IEEE Geosci. Remote Sens. Lett. 13, 5 (2017), 740–744.
[21]
C. Yuan, X. Li, and Q. Wu. 2017. Fingerprint liveness detection from different fingerprint materials using convolutional neural network and principal component analysis. Comput. Mater. Contin. 53, 4 (2017), 357–371.

Cited By

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  • (2024)Mapping the Knowledge Structure of Image Recognition in Cultural Heritage: A Scientometric Analysis Using CiteSpace, VOSviewer, and BibliometrixJournal of Imaging10.3390/jimaging1011027210:11(272)Online publication date: 26-Oct-2024
  • (2024)Research on Intelligent Extraction and Generative Design Creation of Cultural Heritage Image Elements Based on Visual Recognition and Machine LearningApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-35519:1Online publication date: 27-Nov-2024

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  1. Application of Intelligent Image Recognition and Digital Media Art in the Inheritance of Black Pottery Intangible Cultural Heritage

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    Published In

    cover image ACM Transactions on Asian and Low-Resource Language Information Processing
    ACM Transactions on Asian and Low-Resource Language Information Processing  Volume 23, Issue 6
    June 2024
    378 pages
    EISSN:2375-4702
    DOI:10.1145/3613597
    Issue’s Table of Contents

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 21 June 2024
    Online AM: 23 May 2023
    Accepted: 04 May 2023
    Revised: 10 April 2023
    Received: 01 March 2023
    Published in TALLIP Volume 23, Issue 6

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    Author Tags

    1. Cultural heritage
    2. intangible cultural heritage: digital media art
    3. image recognition technology
    4. convolutional neural network
    5. cultural heritage

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    • Shandong Longshan Black pottery cultural heritage protection, inheritance and development research

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    • (2024)Mapping the Knowledge Structure of Image Recognition in Cultural Heritage: A Scientometric Analysis Using CiteSpace, VOSviewer, and BibliometrixJournal of Imaging10.3390/jimaging1011027210:11(272)Online publication date: 26-Oct-2024
    • (2024)Research on Intelligent Extraction and Generative Design Creation of Cultural Heritage Image Elements Based on Visual Recognition and Machine LearningApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-35519:1Online publication date: 27-Nov-2024

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