Automatic Summarization of Instructional Videos

Authors

  • D. Bhavitha, A. Kalaivani

Abstract

In recent times video plays a major role in transferring the important information and a many people are showing interest for browsing, retrieval of video contents. Students now a days uses video as a tool during their revision times. Extracting audio from video is very challenging. The major goal of text summarization is to extract the important information from large amount of data and to give highly efficient content. The proposed system initially extracts the audio content from the instructional videos and then the extracted audio is converted into text transcript. The text transcripts are pre-processed and then the major features are extracted from the text and the sentence rankings have given for all the sentences which gives the summarized text. The evaluation of summarized text is very major because it shows the correctness in our summarized text. There is a high challenge to reduce the much of this converted text to smaller, high focused summarization that captures the various forms of details, such that we can easily navigate it more efficiently and effectively, as well as to check whether the data with large amount of text contains the information and data that we are looking for. It makes the selection process easier, improves the effectiveness of indexing.

Downloads

Published

2020-05-12

Issue

Section

Articles