Video text extraction method based on clustering

SONG Yan1; LIU An-an1; ZHANG Yong-dong1; LIN Shou-xun1

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Video text extraction method based on clustering

更新时间：2024-10-14

- Video text extraction method based on clustering
- Vol. 30, Issue 2, Pages: 136-140(2009)
- 作者机构：
  
  1. 中国科学院计算技术研究所,前瞻实验室
  2. 中国科学院计算技术研究所,智能信息处理重点实验室
  3. 中国科学院研究生院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.41
- Published：2009
- 稿件说明：
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SONG Yan1, LIU An-an1, ZHANG Yong-dong1, et al. Video text extraction method based on clustering[J]. 2009, 30(2): 136-140.
DOI：

SONG Yan1, LIU An-an1, ZHANG Yong-dong1, et al. Video text extraction method based on clustering[J]. 2009, 30(2): 136-140. DOI：

摘要

针对现有方法的不足

提出了一种视频中字幕提取的方法。该方法在文字定位步骤中采用多尺度文字定位以及文字区域精确化的方法;得到文字区域后

在文字分割步骤中使用一种改进的K均值聚类方法对其中的像素进行聚类

获得二值化的图像;最后用OCR软件识别得到文字。实验结果表明

该方法应用于网络视频敏感词语检测具有良好的效果。

Abstract

A new method for video text extraction in order to overcome the weakness of existing methods was proposed.First

multi-scale text location and text region refinement in text location step were adopted.Then an improved K-means clustering method was used to segment text regions to obtain a binarized image in text segmentation step.Finally

OCR software was used to recognize text.The results of experiment show that the method can effctively used in sensitive words detection in videos from the Internet.

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