Analysis of Real Time Video Summarization using Subtitles

Abstract

With the rapid growth of user-generated videos, being able to browse them effectively is becoming increasingly vital. Video summarization is seen to be a potential method for effectively realizing video content by identifying and selecting descriptive frames from the video. An automatic video summary would be advantageous for everyone who wants to save time and learn more in less time as video content continues to grow at a rapid rate. In this paper, essential components of a video can be summarized by the summation of subtitles in a video using text summarization and video mapping algorithms. The audio-generated version of the summary subtitle file will be played with the summarized video. The system's final output would be a summary video accompanied by a summarized audio-generated version.