Detection of setting and subject information in documentary video

Abstract

Interpretation of video information is a difficult task for computer vision and machine intelligence. In this paper we examine the utility of a non-image based source of information about video contents, namely the shot list, and study its use in aiding image interpretation. We show how the shot list may be analysed to produce a simple summary of the \u27who and where\u27 of a documentary or interview video. In order to detect the subject of a video we use the notion of a \u27shot syntax\u27 of a particular genre to isolate actual interview sections