Online video summarization on compressed domain

Recent advances in technology have increased the availability of video data, creating a strong requirement for efficient systems to manage those materials. Making efficient use of video information requires that data to be accessed in a user-friendly way. Ideally, one would like to understand a video content, without having to watch it entirely. This has been the goal of a quickly evolving research area known as video summarization. In this paper, we present a novel approach for video summarization that works in the compressed domain and allows the progressive generation of a video summary. The proposed method relies on exploiting visual features extracted from the video stream and on using a simple and fast algorithm to summarize the video content. Experiments on a TRECVID 2007 dataset show that our approach presents high quality relative to the state-of-the-art solutions and in a computational time that makes it suitable for online usage.

► We present a novel approach for video summarization. ► Our mechanism is designed to produce video summaries for online applications. ► The proposed method works in the compressed domain and allows the progressive generation. ► A statistically well-founded experimental evaluation on a TRECVID 2007 dataset was performed. ► Results show that our method produces summaries with high quality and computational speed.