Video retrieval using relevant topics extraction from movie subtitles

Abstract

In this paper we propose a novel video retrieval approach based on relevant topics extraction from video subtitles using natural language processing strategies and movie temporal segmentation into scenes. The proposed method is able to identify various subjects existent in a subtitle document and deals with the polysemantic character of words. The approach has been tested on various movie genres, including documentaries, TV series, news, sports. The objective evaluation carried out on a video dataset selected from one week video archive of France Television proves the performance of our technique that returns a mean average precision score superior to 0.5.