Effective video content abstraction by similar shots clustering

With the widespread use of digital video technology and the explosion of video data, effectively and efficiently organizing the video content becomes an important issue. In past years, various methods and techniques have been proposed towards this problem, among which organizing video data by summarizing the contents is a practical and useful method. The purpose of this article is to provide a hierarchical video abstraction strategy based on similar video shots clustering. The abstraction method treats a video as a set of shot clusters, and the video abstraction is composed of the exemplar shots of these clusters. The effectiveness of the proposed method is proved by experiments.