Up to now, more and more video materials are stored and transmitted in the compression form, so it is practical to study the shot segmentation algorithms based on compressed video data.
从实用角度看，目前越来越多的动态视频资料都是以压缩形式存储和传输，所以，研究基于压缩视频流的算法更有实际意义。
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。
With all three algorithms in effect, a 1-gb video file can be compressed to just 25 MB, without destroying any of the original video information.
三种算法都生效的情况下，一个1 -GB的视频文件可以被压缩到只有25MB，并且不会破坏任何原始视频信息。
Most of the current moving object segmentation algorithms in compressed domain were focused on the MPEGx video standards which were complexity intensive due to the use of complex mathematical models.
目前大部分压缩域视频对象的分割方法主要面向MPEG系列视频标准，且算法建模复杂。
Most of the current moving object segmentation algorithms in compressed domain were focused on the MPEGx video standards which were complexity intensive due to the use of complex mathematical models.
目前大部分压缩域视频对象的分割方法主要面向MPEG系列视频标准，且算法建模复杂。
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