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Integration and Optimization of Multimedia Technology in Art and Painting Education under Big Data.

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Title: Integration and Optimization of Multimedia Technology in Art and Painting Education under Big Data.
Authors: He, Yuli1 (AUTHOR) Heyuli0430@163.com, Zhou, Shiqi2 (AUTHOR) zhoushiqi202404@163.com
Source: Journal of Circuits, Systems & Computers. 5/15/2026, Vol. 35 Issue 8, p1-22. 22p.
Subjects: Multimedia systems, Art education, Education & training services industry, Big data, Optimization algorithms
Abstract: With the continuous changes in art and painting teaching problems, the commonly used methods can no longer solve the problem very well. At this time, we use multimedia technology to study them in the context of big data. The experiments show that: (1) Multimedia technology can be well integrated into the teaching of art and painting; the rapport rate between them reached 92%. The problem that the system would sometimes become unstable was solved through the optimization algorithm, and finally, the overall score of the model was obtained through the evaluation algorithm to be floating between 88–94 points. (2) According to the data of the figures and tables, it can be concluded that due to the integration of multimedia technology into the teaching of art and painting, my country is paying more and more attention to it anyway, and the amount invested is also increasing, which has changed from the original 2.5 billion to 4 billion yuan. In the future, the training of art and painting teaching talents will be 123 million yuan in 2020–222 million yuan in 2024, and the proportion of my country's art and painting transactions will basically account for 50%. Finally, the teaching of art and painting in our country will become better and better. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Circuits, Systems & Computers is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: Integration and Optimization of Multimedia Technology in Art and Painting Education under Big Data.
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  Data: <searchLink fieldCode="AR" term="%22He%2C+Yuli%22">He, Yuli</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> Heyuli0430@163.com</i><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Shiqi%22">Zhou, Shiqi</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> zhoushiqi202404@163.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Circuits%2C+Systems+%26+Computers%22">Journal of Circuits, Systems & Computers</searchLink>. 5/15/2026, Vol. 35 Issue 8, p1-22. 22p.
– Name: Subject
  Label: Subjects
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  Data: <searchLink fieldCode="DE" term="%22Multimedia+systems%22">Multimedia systems</searchLink><br /><searchLink fieldCode="DE" term="%22Art+education%22">Art education</searchLink><br /><searchLink fieldCode="DE" term="%22Education+%26+training+services+industry%22">Education & training services industry</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br /><searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: With the continuous changes in art and painting teaching problems, the commonly used methods can no longer solve the problem very well. At this time, we use multimedia technology to study them in the context of big data. The experiments show that: (1) Multimedia technology can be well integrated into the teaching of art and painting; the rapport rate between them reached 92%. The problem that the system would sometimes become unstable was solved through the optimization algorithm, and finally, the overall score of the model was obtained through the evaluation algorithm to be floating between 88–94 points. (2) According to the data of the figures and tables, it can be concluded that due to the integration of multimedia technology into the teaching of art and painting, my country is paying more and more attention to it anyway, and the amount invested is also increasing, which has changed from the original 2.5 billion to 4 billion yuan. In the future, the training of art and painting teaching talents will be 123 million yuan in 2020–222 million yuan in 2024, and the proportion of my country's art and painting transactions will basically account for 50%. Finally, the teaching of art and painting in our country will become better and better. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Circuits, Systems & Computers is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1142/S0218126626500027
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      – Code: eng
        Text: English
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        PageCount: 22
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    Subjects:
      – SubjectFull: Multimedia systems
        Type: general
      – SubjectFull: Art education
        Type: general
      – SubjectFull: Education & training services industry
        Type: general
      – SubjectFull: Big data
        Type: general
      – SubjectFull: Optimization algorithms
        Type: general
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      – TitleFull: Integration and Optimization of Multimedia Technology in Art and Painting Education under Big Data.
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            NameFull: He, Yuli
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            NameFull: Zhou, Shiqi
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            – D: 15
              M: 05
              Text: 5/15/2026
              Type: published
              Y: 2026
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              Value: 35
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