An adaptive and link-based method for video scene clustering and visualization

Abstract

In this paper we propose to adaptively cluster video shots into scenes on page rank manner and visualize video content on clustered scenes. The clustering method has been compared with state-of-arts methods and experimental results demonstrate the effectiveness of the proposed method. In visualization, the importance of the shots in the scene can be obtained and incorporated into the visualization parameters. The visualization results of the test videos are shown in global and detail manner.