AI-assisted visual content creation process and optimization practice for short video platforms
DOI:
https://doi.org/10.71451/ISTAER2528Keywords:
Short Video Platform; Artificial Intelligence; Visual Content Creation; Automated Editing; Personalized RecommendationsAbstract
With the rapid development of short video platforms, content creation has become an important factor in attracting users and increasing platform activity. However, creators face multiple challenges in creativity, efficiency, and quality in video production. The introduction of artificial intelligence (AI) technology provides a new solution for short video creation, especially in the creation and optimization of visual content. This paper studies the AI-assisted visual content creation process and optimization practice for short video platforms, and explores the application of AI in video editing, image processing, personalized recommendation and other fields and its optimization effect. Through the analysis of the AI-assisted creation technology framework, this paper reveals how AI can improve creation efficiency, optimize video quality, and promote the personalized and intelligent development of short video creation. In addition, this paper also analyzes the technical challenges, ethical and legal issues faced by AI-assisted creation, as well as the collaborative relationship between creators and AI. Finally, this paper looks forward to the future development trend of AI and short video creation, and puts forward relevant practical suggestions, providing theoretical guidance and technical support for creators and platforms.
References
[1] Huang, Y., Lv, S., Tseng, K. K., Tseng, P. J., Xie, X., & Lin, R. F. Y. (2023). Recent advances in artificial intelligence for video production system. Enterprise Information Systems, 17(11), 2246188. DOI: https://doi.org/10.1080/17517575.2023.2246188
[2] Rahman, M. D., & Ali, M. A. AI in Video Production: From Script to Screen. Media and Al: Navigating, 49.
[3] Yu, T., Yang, W., Xu, J., & Pan, Y. (2024). Barriers to industry adoption of AI video generation tools: A study based on the perspectives of video production professionals in China. Applied Sciences, 14(13), 5770. DOI: https://doi.org/10.3390/app14135770
[4] Alnaser, A. (2024). The Impact of AI-Augmented Image and Video Editing on Social Media Engagement, Perception, and Digital Culture. Journal of Computational Intelligence, Machine Reasoning, and Decision-Making, 9(10), 15-32.
[5] Seneadza, J. S., Arku, Z., Kumi, D. K., Boateng, S. L., & Boateng, R. (2025). AI and Content Creation Research: A Snapshot of What We Know and What We Don't Know. In AI and the Creative Economy (pp. 36-62). Productivity Press. DOI: https://doi.org/10.4324/9781003595717-2
[6] Chung, J. G., Hong, S., Choi, J., & Oh, C. (2025, April). Understanding the Dynamics in Deploying AI-Based Content Creation Support Tools in Broadcasting Systems-Benefits, Challenges, and Directions. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (pp. 1-28). DOI: https://doi.org/10.1145/3706598.3713532
[7] Darwich, M., & Bayoumi, M. (2025). AI-Driven Video Quality Assessment and Enhancement Techniques. In Enhancing Video Streaming with AI, Cloud, and Edge Technologies: Optimization Techniques and Frameworks (pp. 31-59). Cham: Springer Nature Switzerland. DOI: https://doi.org/10.1007/978-3-031-84651-9_2
[8] Santoso, B., & Wijayanti, R. (2024). Human-AI Collaboration in Creative Industries: Workflows in Media Production and Community-Driven Platforms. Transactions on Artificial Intelligence, Machine Learning, and Cognitive Systems, 9(11), 11-26.
[9] Kavitha, L. (2023). Copyright challenges in the artificial intelligence revolution: Transforming the film industry from script to screen. Trinity Law Review, 4(1), 1-8.
[10] Anantrasirichai, N., & Bull, D. (2022). Artificial intelligence in the creative industries: a review. Artificial intelligence review, 55(1), 589-656. DOI: https://doi.org/10.1007/s10462-021-10039-7
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This work is licensed under the Creative Commons Attribution International License (CC BY 4.0).