Application of Communication Technology and Neural Network Technology in Film and Television Creativity and Post-Production

Authors

  • Kang Li Ph.D. Candidate, Department of Arts, International College, Krirk University, Bangkok, Thailand

DOI:

https://doi.org/10.17762/ijcnis.v16i1.6560

Keywords:

communication technology, neural network technology, film and television post-production, audience data analysis

Abstract

The intersection of communication technology and neural network advancements in the realm of film and television creativity and post-production assumes a pivotal role, heralding a new era of content innovation. These technologies not only fuel the inventive spirit in film and television narratives, but they also elevate production efficiency and artistic quality to unprecedented heights. Enabled by high-speed data transmission and cloud storage solutions, global teams now collaborate in real-time, seamlessly sharing voluminous media files, thereby expediting the entire creative journey from script to screen. This not only mitigates the reliance on traditional manual labor but also enhances the realism and sophistication of visual effects. Illustratively, facial recognition and expression capture technologies accurately capture actors' expressions, transplanting them onto digital characters, thereby yielding realistic animations. Moreover, neural networks analyze vast audiences' data, providing producers with a nuanced understanding of audience preferences, guiding content creation, and aligning film and television works with market demands. In this manner, the integration of communication and neural network technologies ushers in a new dawn for film and television, one that is rich in innovation, efficiency, and artistic excellence.

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Published

2024-06-19

How to Cite

Li, K. (2024). Application of Communication Technology and Neural Network Technology in Film and Television Creativity and Post-Production. International Journal of Communication Networks and Information Security (IJCNIS), 16(1), 228–240. https://doi.org/10.17762/ijcnis.v16i1.6560

Issue

Section

Research Articles