Multimedia Data Processing Technology and Application Based on Deep Learning
With deep learning being widely used in various research fields, it is introduced into the research and analysis of multimedia data processing technology and application. First, the flow of multimedia data processing, the development of multimedia data, and the realization of multimedia data process...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2023/4184425 |
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| _version_ | 1832547905710325760 |
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| author | Guo Li Wei Liu |
| author_facet | Guo Li Wei Liu |
| author_sort | Guo Li |
| collection | DOAJ |
| description | With deep learning being widely used in various research fields, it is introduced into the research and analysis of multimedia data processing technology and application. First, the flow of multimedia data processing, the development of multimedia data, and the realization of multimedia data processing technology are explained and analyzed. Then, the related network results of deep learning (convolution network structure and countermeasure neural network structure) are put forward, and the image comparison of the activation function and the loss function of deep learning is analyzed, which provides functional algorithm support for the experimental analysis of deep learning in multimedia data processing technology. Finally, through the analysis of experimental data, it is concluded that deep learning has stronger advantages in the application research of multimedia data processing technology compared with other learning methods. In the multimedia data processing, the multimedia data processing technology is obviously superior to the data mining technology and data compression technology. Finally, under the support of deep learning data, we conclude that multimedia data processing technology is widely used and quoted in various fields. Therefore, with the development of multimedia, the amount of multimedia data is increasing; so, we should vigorously develop multimedia data processing technology in an all-round way. |
| format | Article |
| id | doaj-art-2f7ecfc8b23e43bba3077d1885dc80bb |
| institution | Kabale University |
| issn | 1687-5699 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-2f7ecfc8b23e43bba3077d1885dc80bb2025-02-03T06:42:53ZengWileyAdvances in Multimedia1687-56992023-01-01202310.1155/2023/4184425Multimedia Data Processing Technology and Application Based on Deep LearningGuo Li0Wei Liu1College of Machanical and Electrical EngineeringCollege of Machanical and Electrical EngineeringWith deep learning being widely used in various research fields, it is introduced into the research and analysis of multimedia data processing technology and application. First, the flow of multimedia data processing, the development of multimedia data, and the realization of multimedia data processing technology are explained and analyzed. Then, the related network results of deep learning (convolution network structure and countermeasure neural network structure) are put forward, and the image comparison of the activation function and the loss function of deep learning is analyzed, which provides functional algorithm support for the experimental analysis of deep learning in multimedia data processing technology. Finally, through the analysis of experimental data, it is concluded that deep learning has stronger advantages in the application research of multimedia data processing technology compared with other learning methods. In the multimedia data processing, the multimedia data processing technology is obviously superior to the data mining technology and data compression technology. Finally, under the support of deep learning data, we conclude that multimedia data processing technology is widely used and quoted in various fields. Therefore, with the development of multimedia, the amount of multimedia data is increasing; so, we should vigorously develop multimedia data processing technology in an all-round way.http://dx.doi.org/10.1155/2023/4184425 |
| spellingShingle | Guo Li Wei Liu Multimedia Data Processing Technology and Application Based on Deep Learning Advances in Multimedia |
| title | Multimedia Data Processing Technology and Application Based on Deep Learning |
| title_full | Multimedia Data Processing Technology and Application Based on Deep Learning |
| title_fullStr | Multimedia Data Processing Technology and Application Based on Deep Learning |
| title_full_unstemmed | Multimedia Data Processing Technology and Application Based on Deep Learning |
| title_short | Multimedia Data Processing Technology and Application Based on Deep Learning |
| title_sort | multimedia data processing technology and application based on deep learning |
| url | http://dx.doi.org/10.1155/2023/4184425 |
| work_keys_str_mv | AT guoli multimediadataprocessingtechnologyandapplicationbasedondeeplearning AT weiliu multimediadataprocessingtechnologyandapplicationbasedondeeplearning |