  This paper proposes an automatic subtitle generation and semantic video
summarization technique. The importance of automatic video summarization is
vast in the present era of big data. Video summarization helps in efficient
storage and also quick surfing of large collection of videos without losing the
important ones. The summarization of the videos is done with the help of
subtitles which is obtained using several text summarization algorithms. The
proposed technique generates the subtitle for videos with/without subtitles
using speech recognition and then applies NLP based Text summarization
algorithms on the subtitles. The performance of subtitle generation and video
summarization is boosted through Ensemble method with two approaches such as
Intersection method and Weight based learning method Experimental results
reported show the satisfactory performance of the proposed method
