NLP based Video Summarisation using Machine Learning

Abstract

More people are capturing their daily lives with video data, because to the wide availability of recording equipment. However, the sheer volume of video content makes it more challenging to manage, especially for lengthy movies like security or CCTV footage. For a richer and more succinct condensing of the film will result from automatically detecting the key sections and frames of larger videos and providing them with captions. Users still need to spend time searching or navigating through a summarized video. To extract a shortened version of the footage's information into text form, automatic video summarizing has been proposed. With simply a text summary, the suggested system provides a quick semantic understanding of a lengthy film using LSTM model and the summary can be taken in 3 major different languages (English, Hindi, & Marathi).