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<p>AIGC, as a new generation of intelligent generation technology, provides new ideas for the progress and development of the new media field. This study constructs a communication model for new media micro-video creation based on the information communication model, analyzing the communication and development of new media micro-video creation. Combining the application characteristics of AIGC technology in new media micro-video creation and the needs of new media micro-video creation, it proposes the information hiding improvement method based on the GAN model and diffusion model. It constructs the AIGC optimization system based on new media micro-video creation. The model’s application effect in new media micro-video creation is explored after it passes the performance test. The results show that the average scores of all the indicators of the sense of using experience are above 3.5, the overall average score of micro-video creation is 4.12, and the peak traffic and cumulative traffic of the works created by utilizing this method have been improved by 17,000 and 1,910,000, respectively. The efficiency and quality of micro-video creation can be enhanced by using this study as a feasible reference.</p>
</abstract>

AIGC, as a new generation of intelligent generation technology, provides new ideas for the progress and development of the new media field. This study constructs a communication model for new media micro-video creation based on the information communication model, analyzing the communication and development of new media micro-video creation. Combining the application characteristics of AIGC technology in new media micro-video creation and the needs of new media micro-video creation, it proposes the information hiding improvement method based on the GAN model and diffusion model. It constructs the AIGC optimization system based on new media micro-video creation. The model’s application effect in new media micro-video creation is explored after it passes the performance test. The results show that the average scores of all the indicators of the sense of using experience are above 3.5, the overall average score of micro-video creation is 4.12, and the peak traffic and cumulative traffic of the works created by utilizing this method have been improved by 17,000 and 1,910,000, respectively. The efficiency and quality of micro-video creation can be enhanced by using this study as a feasible reference.

Principles of AIGC technology and its application in new media micro-video creation

Department of Chinese Language and Literature

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

AIGC, as a new generation of intelligent generation technology, provides new ideas for the progress and development of the new media field. This study...

Principles of AIGC technology and its application in new media micro-video creation

Data publikacji: 07 cze 2024

Zakres stron: -

Otrzymano: 09 mar 2024

Przyjęty: 10 maj 2024

DOI: https://doi.org/10.2478/amns-2024-1393

Słowa kluczowe
Information dissemination model, AIGC, GAN network, Diffusion model, Micro-video creation

© 2024 Juan Di, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Principles of AIGC technology and its application in new media micro-video creation

Data publikacji: 07 cze 2024

Zakres stron: -

Otrzymano: 09 mar 2024

Przyjęty: 10 maj 2024

DOI: https://doi.org/10.2478/amns-2024-1393

Słowa kluczoweInformation dissemination model, AIGC, GAN network, Diffusion model, Micro-video creation

© 2024 Juan Di, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
Information dissemination model, AIGC, GAN network, Diffusion model, Micro-video creation