A Semi-automatic Approach for Generating Video Trailers for Learning Pathways

Abstract

This paper presents an approach for semi-automatic generation of video trailers for learning pathways containing sequenced learning resources of various forms. The main aim of presenting a trailer to the learners is to generate curiosity and interest among them and help them make an informed choice about the learning pathways or the courses they want to learn. We propose generation of video trailers using Machine Learning and Natural Language Processing techniques. The proposed trailer is in the form of a timeline consisting of various fragments created by selecting, para-phrasing or generating content using various proposed techniques. The fragments are further enhanced by adding voice-over text, subtitles, etc., to create a holistic experience. Human evaluation of trailers generated by our framework showed promising results.