Using Generative AI for Video Summarization

Abstract

This article examines the application of generative AI in video summarization with a particular emphasis on the application of the technology in the summarization of lectures, webinars, and news. With the ever-growing exponentially rising video content, this necessitates effective tools that can be used to shorten the long videos without losing any important information. This paper explores the ways AI models can be used to create concise summaries automatically, based on the identification and extraction of the most relevant segments, and the integrity of content. The article describes how AI-generated summaries are beneficial, such as better accessibility, time-saving, and engagement with the content, with the help of the analysis of existing systems and case studies. It also looks at the issues encountered, including the need to keep the context of problems and deal with biases in AI models. The results indicate that generative AI has a lot of potential to change content consumption in education, media, and business industries and raises ethical and technical concerns. The article then concludes by pointing out the potential of AI in the future in optimizing video summarization towards various applications.