Video summarization with minimal visual content redundancies

We propose a video summarization method able to produce a motion video summary that minimizes the visual content redundancy for the input video. We derive the visual content redundancy metric that tells how much redundancy a video contains, and how much the video can be curtailed without losing too much visual content. Then we develop a method that produces a summary of the input video with the minimal redundancy measured. The video summary also contains the original audio segments that are partially synchronized with the summarized visual content. The experimental evaluations show the effectiveness of the redundancy metric and the summarization method