Innovative Applications of AIGC in Television Content Generation

Siyang Huang, Siyu Wu
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Abstract

Artificial Intelligence and Generative Computing (AIGC) technologies have revolutionized television content generation by enabling automated processes that were previously labor-intensive and time-consuming. This paper explores the innovative applications of AIGC in the broadcast television sector, focusing on three key areas: automated script generation, creation of virtual hosts and actors, and automated video editing. Through case studies and empirical analysis, we examine the effectiveness and impact of these technologies on content quality, production efficiency, and audience engagement. Despite significant advancements, challenges such as ethical considerations and technological limitations persist. Looking forward, the integration of AIGC promises continued advancements in transforming the landscape of television content creation.
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AIGC 在电视内容生成中的创新应用
人工智能与生成计算(AIGC)技术实现了以往耗费大量人力和时间的自动化流程,从而彻底改变了电视内容的生成。本文探讨了 AIGC 在广播电视领域的创新应用,重点关注三个关键领域:自动脚本生成、虚拟主持人和演员创建以及自动视频编辑。通过案例研究和实证分析,我们考察了这些技术对内容质量、制作效率和观众参与度的有效性和影响。尽管取得了重大进展,但伦理考虑和技术限制等挑战依然存在。展望未来,AIGC 的整合有望继续推动电视内容创作领域的变革。
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