摘要
文本提取在视频和图像中具有重要的应用价值。近年来,大数据时代带来了海量信息检索的迫切需求,大量视频和图像中文本的提取方法涌现出来。回顾了视频和图像中文本提取的算法,从文本提取流程出发,将其分为文本区域检测定位和文本分割两大步骤。在每个步骤中,分析并比较了现有算法的使用范围及相对优缺点,讨论了图像公用数据库,列举了近些年来图像中文本提取的重要应用,指出了当前研究中存在的问题,展望了视频和场景图像文本提取方法的发展趋势。
Text extraction in video and images has important application value. Big data era brought urgent demands of huge amounts of information retrieval,many text extraction methods have been proposed in recent years. In this paper, we reviewed text extraction methods from video and images. First, w e classified the course of text extraction into two steps text region detection and localization,text segmentation. Then,some text region detection and localization and text segmentation algorithms have been discussed regarding their application fields and their advantages and disadvantages. Finally, we discussed benchmark data and performance evaluation, and pointed out the promising directions for future research.
出处
《计算机科学》
CSCD
北大核心
2017年第B11期8-18,共11页
Computer Science
关键词
视频和图像
文本提取
文本区域检测与定位
文本分割
综述
Video and images,Text extraction,Text region detection and localization,Text segmentation,Review
