Existing video text segmentation algorithms are generally based on a single attribute of video texts.
现有视频文字分割算法一般只利用了视频文字某一方面的特性。
In this thesis, firstly, video frame segmentation algorithm of multi-modal information based on artificial text and visual characteristics is proposed.
本文首先给出一种基于人工文本与视觉特征的多模态信息视频帧分割算法。
In this paper, news story segmentation and topic caption text extraction, as well as content based video browsing and querying, are addressed in detail.
本文详细讲述了新闻故事的分段，主题字幕文本的提取和在此之上的基于内容的视频浏览和查询。
This paper studies the video text extraction and recognition. The main parts are the algorithm and key technology of text localization, text tracking and text segmentation.
本文研究的是视频文字的提取和识别，主要包括视频文字定位、跟踪和分割三部分算法及关键技术的研究。
The basic idea is to detect the shot boundaries first for news video, and then frames containing topic caption texts are identified to get news story segmentation cues using text detection algorithm.
其基本思想是先对新闻视频进行镜头边界检测；其次，通过文字检测算法检测包含有主题字幕文本的帧来获得新闻故事分段的线索；
The basic idea is to detect the shot boundaries first for news video, and then frames containing topic caption texts are identified to get news story segmentation cues using text detection algorithm.
其基本思想是先对新闻视频进行镜头边界检测；其次，通过文字检测算法检测包含有主题字幕文本的帧来获得新闻故事分段的线索；
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