In this article an abrupt shot change detection method based on statistical model is proposed.
提出了一种基于统计模型的镜头突变检测方法。
The framework of video abstraction system in compressed domain is described, and main algorithms such as shot change detection, key-frame extraction and face detection are discussed.
给出了压缩域视频摘要系统的结构框架，并对其中的压缩域视频镜头变换检测、关键帧提取和压缩域人脸检测等主要算法进行了讨论。
Our experimental results demonstrate the performance of scene change detection based on shot is better than that of shot clustering based on multi-features.
实验表明，基于镜头的场景边界检测性能优于基于多特征的镜头聚类分析。
Experimental results show that our algorithm not only detect direct shot change and gradual shot detection, but also eliminate the effect of flashlight and moving cameras.
实验证明本算法在压缩视频镜头检测方面取得了较好的检测结果。
The methods of shot change include abrupt change and gradual change, this thesis researches shot abrupt change detection and fade-in and fade-out of gradual change detection.
镜头的转换方式分为切变和渐变，本文对镜头的切变和渐变中的淡入淡出检测分别做了研究。
The methods of shot change include abrupt change and gradual change, this thesis researches shot abrupt change detection and fade-in and fade-out of gradual change detection.
镜头的转换方式分为切变和渐变，本文对镜头的切变和渐变中的淡入淡出检测分别做了研究。
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