Semantic video summarization in compressed domain MPEG video

In this paper, we present a semantic summarization algorithm that interfaces with the metadata and that works in compressed domain, in particular MPEG-1 and MPEG-2 videos. In enabling a summarization algorithm through high-level semantic content, we try to address two major problems: First, we present the facility provided in the DVA system that allows the semiautomatic creation of this metadata. Second, we address the main point of this system which is the utilization of this metadata to filter out the frames, creating an abstract of a video based on a Boolean condition set by the user. Our video summary quality survey indicates that the proposed method performs satisfactorily.