The Rise of AI‐Generated News Videos

计算机科学 计算机图形学(图像) 人工智能
作者
Kuldeep Vayadande,Mustansir Bohri,Mohit Chawala,Ashutosh M. Kulkarni,Asif Mursal
标识
DOI:10.1002/9781394214167.ch25
摘要

The rapid advancements in Artificial Intelligence (AI) have given rise to the possibility of automating news video creation. AI-powered news videos will offer a fresh and dynamic perspective on the day's top stories, delivering the content people need in a way that is easy to consume. AI-generated news videos are the next evolution in journalism, providing a fast and accurate way to consume news content that is both informative and visually stunning. In this review paper, we explore the process of converting news articles into AI-generated videos that can be published on platforms like YouTube. The process involves web scraping of text and images, news authentication, image searching, voice-over creation, video generation, thumbnail creation, and YouTube video upload. We have reviewed several research papers related to each of these steps and highlighted their applications in news video creation. We have identified the challenges involved in each step, such as the authenticity of news articles, relevance of images, and the need for high-quality voice-overs. We have discussed proposed solutions for these challenges and the potential of AI-generated news videos in revolutionizing the news industry. Our review paper also highlights the research gaps in this field, such as the need for more advanced image and voice recognition technology and the potential ethical concerns of using AI-generated content.

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