News video story segmentation method using fusion of audio-visual features

Abstract

News story segmentation is an important aspect for news video analysis. This paper presents a method for news video story segmentation. Different form prior works, which base on visual features transform, the proposed technique uses audio features as baseline and fuses visual features with it to refine the results. At first, it selects silence clips as audio features candidate points, and selects shot boundaries and anchor shots as two kinds of visual features candidate points. Then this paper selects audio feature candidates as cues and develops different fusion method, which effectively using diverse type visual candidates to refine audio candidates, to get story boundaries. Experiment results show that this method has high efficiency and adaptability to different kinds of news video.

Near Duplicate Keyframes Identifying and Correlation Analyzing of News Video Stories

“…如图 3 所示,本文提出了一种在动态新闻视频数据库中快速、有效对故事单元进行关联分析的方法.其中, 故事单元结构分析 [20] 和关键帧获取 [21] 利用我们之前研究的方法,不再是本文的研究内容. • NDK 的对称性:如果关键帧 K 1 与 K 2 相似,则表示 K 2 也与 K 1 相似.…”