Video Generation by Summarizing the Generated Transcript

Generative AI is a subset of Artificial Intelligence that focuses on generating new and unique data based on training data, such as images, music, text, or even 3D models. A large number of cameras continuously record the video, creating a massive amount of data. It takes a lot of time, labor, hardware storage, and other resources to process these massive amounts of video. This process has been revolutionized in recent years through the development of generative models. In this sense, video summarization is significant. In this study, we used two different kinds of approach Speech transcript-based approach and the action-based approach for summarization and creation. This paper's primary objective is to obtain the user's video URL to offer them a summary and a shortened version of the original video. Additionally, if there is only music or no transcript in the video, this will tell you which actions are performed in the video and provide you with a shortened version of that video, according to the activity and actions in the video. Image generation is the process of creating new images that do not exist in the real-world using computer algorithms. With Image generation option, users can create new and unique images that do not exist in the real world.