Mobile visual media design based on artificial intelligence and augmented reality technology
In recent years, with the development of computer and network technologies, digital video and image information is emerging more and more, the information era based on multimedia information services is coming to us, and people’s demand for visual media content such as video and images is becoming m...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
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| Online Access: | https://doi.org/10.2478/amns.2023.1.00264 |
| _version_ | 1797340904629993472 |
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| author | Wang Xiaoting |
| author_facet | Wang Xiaoting |
| author_sort | Wang Xiaoting |
| collection | DOAJ |
| description | In recent years, with the development of computer and network technologies, digital video and image information is emerging more and more, the information era based on multimedia information services is coming to us, and people’s demand for visual media content such as video and images is becoming more and more extensive. In this paper, we use the Gaussian mixture model pixel detection technology method and image detection technology to study visual media to meet the various needs of users. SVM is used to perform classification tests on 3688 Chinese painting images and 4827 general images. The result is that the positive detection rate of national painting images is 87.25%, and the rate of non-national painting images being wrongly detected as national painting images is 7.63%. This indicates that the CCV feature also has a relatively good discriminative property for national painting images. The focus is on providing technical methods for the design of various visual media shapes such as sports and art, thus providing solutions to help users better access and use the digital multimedia information they are interested in. |
| first_indexed | 2024-03-08T10:10:08Z |
| format | Article |
| id | doaj.art-cf77ecd56bb84819b65586caa17de78c |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:10:08Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-cf77ecd56bb84819b65586caa17de78c2024-01-29T08:52:27ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.1.00264Mobile visual media design based on artificial intelligence and augmented reality technologyWang Xiaoting01College of Digital Creativity, Changzhou Institute of Information Technology, Changzhou, Jiangsu, 213164, ChinaIn recent years, with the development of computer and network technologies, digital video and image information is emerging more and more, the information era based on multimedia information services is coming to us, and people’s demand for visual media content such as video and images is becoming more and more extensive. In this paper, we use the Gaussian mixture model pixel detection technology method and image detection technology to study visual media to meet the various needs of users. SVM is used to perform classification tests on 3688 Chinese painting images and 4827 general images. The result is that the positive detection rate of national painting images is 87.25%, and the rate of non-national painting images being wrongly detected as national painting images is 7.63%. This indicates that the CCV feature also has a relatively good discriminative property for national painting images. The focus is on providing technical methods for the design of various visual media shapes such as sports and art, thus providing solutions to help users better access and use the digital multimedia information they are interested in.https://doi.org/10.2478/amns.2023.1.00264digital multimediavisual media designgaussian mixture model pixel detection techniqueimage detection technique68t42 |
| spellingShingle | Wang Xiaoting Mobile visual media design based on artificial intelligence and augmented reality technology Applied Mathematics and Nonlinear Sciences digital multimedia visual media design gaussian mixture model pixel detection technique image detection technique 68t42 |
| title | Mobile visual media design based on artificial intelligence and augmented reality technology |
| title_full | Mobile visual media design based on artificial intelligence and augmented reality technology |
| title_fullStr | Mobile visual media design based on artificial intelligence and augmented reality technology |
| title_full_unstemmed | Mobile visual media design based on artificial intelligence and augmented reality technology |
| title_short | Mobile visual media design based on artificial intelligence and augmented reality technology |
| title_sort | mobile visual media design based on artificial intelligence and augmented reality technology |
| topic | digital multimedia visual media design gaussian mixture model pixel detection technique image detection technique 68t42 |
| url | https://doi.org/10.2478/amns.2023.1.00264 |
| work_keys_str_mv | AT wangxiaoting mobilevisualmediadesignbasedonartificialintelligenceandaugmentedrealitytechnology |