News Video Story Segmentation Technique: An Overview
新闻视频故事单元分割技术综述

As a challenging technique,news video story segmentation divides news programs into a series of stories by statistical techniques or information theory methods.It provides the best semantic units for video indexing.According to the information utilized,this paper gives an overview of the existing methods and classifies them into three categories: the single-modality approach,the multi-modality fusion approach and the context-based approach.Their relative advantages and limitations are discussed in detail and segmentation errors are analyzed.In the end,some trends in this field are introduced.