Typically video annotation is performed in video-level and shot-level.
通常视频标注主要在其中的视频层和镜头层中进行。
参考来源 - 层次化视频语义标注与检索·2,447,543篇论文数据，部分数据来源于NoteExpress
So, how to do video annotation efficiently is the purpose of this paper.
因此，如何进行有效的视频语义标注是本文研究的目的。
The automatic video annotation is a key module of the video indexing and retrieval system, and the extraction and location of captions are important steps for video annotation.
视频的自动标注是视频检索系统中的重要模块，而字幕的提取与定位则是视频标注的重要步骤。
At present, most of video semantic annotation methods are based on statistic theory. The methods use supervised learning method to do semantic label.
目前已有的视频语义标注方法多是基于统计学理论，采用全监督学习方法进行语义标注工作。
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