The recent research works about video caption detection are summarized detailedly, and compared with each other.
综述了当前视频字幕检测的研究成果，并对其中具有代表性的方法进行了分析比较。
On the basis of a existing news video retrieval system, this paper introduces a method for news video indexing by scenes and two ways of content based summary, using caption detection.
在提出一种新闻视频检索系统结构的基础上，介绍了基于标题条检测的新闻场景分段索引方法，并阐述了两种新闻摘要的生成策略。
Caption Detection and Enhancement Choosing reasonable features according to the particularity of caption, and combining the redundant information of multiple video frame to detect and enhance caption.
基于视频的字幕检测和增强根据字幕的特殊性选择合理的特征，并利用视频中多帧间的冗余信息实现字幕的检测和增强。
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；
Further it mainly aims at the segment of shot, selection of key frame, classify of audio characteristic and detection of caption-region in video and presents corresponding improved approach.
在此基础上主要就镜头分割、关键帧选取、音频特征分类以及视频中文字区域的检测和分割提出了相应改进的算法。
Further it mainly aims at the segment of shot, selection of key frame, classify of audio characteristic and detection of caption-region in video and presents corresponding improved approach.
在此基础上主要就镜头分割、关键帧选取、音频特征分类以及视频中文字区域的检测和分割提出了相应改进的算法。
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