text segmentation and recognition 文字分割与识别
Chinese text segmentation 中文文本分词
video text segmentation 视频文本分割
automatic text segmentation 自动文本分词
text line segmentation 文本行切分
text area segmentation 字符块分割
The paper aims to perform topic spotting of segments based on text segmentation using small world structure. Main topic of the whole text is generalized and the skeleton of text shows itself.
本文旨在研究如何基于小世界模型进行文本分割,确定片段主题,进而总结全文的中心主题,使文本的主题脉络呈现出来。
参考来源 - 基于小世界模型的中文文本主题分析 in CExperimental results indicate that the proposed algorithm preferably solves the text segmentation problem which involves in a complex background,and its performance precedes that of the traditional method.
实验结果表明,该算法比传统算法能更好解决复杂背景的视频文字分割问题。
参考来源 - 基于笔画提取和颜色模型的视频文字分割算法 in C·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
Text segmentation splits text into individual words or tokens.
文本分割将文本分离为单独的词或标记。
During the text segmentation, each word or token is determined for the lexical dictionary.
在文本分割期间，将针对词汇字典确定每个单词或标记。
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。
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