Video summarization using feature dissimilarity

This paper presents a novel video summarization method using iterative shrinkage of potential scene feature dissimilarities. The proposed method starts by segmenting the initial video into peak frames having sharp scene variations for summarization length prior. Then, visual significant frames are estimated using visual motion dissimilarities between input video frames and peak frames.