A Smart Approach for Text Detection, Localization and Extraction in Video Frames

被引：2
|
作者：
Shi, Shuicai [1 ,2 ]
Cheng, Tao [2 ]
Xiao, Shibin [2 ]
Lv, Xueqiang [2 ]
机构：
[1] Beijing Informat Sci & Technol Univ, Chinese Informat Proc Res Ctr, Beijing, Peoples R China
[2] TRS, Beijing TRS Informat Technol Co Ltd, Beijing, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND COMPUTER SCIENCE, VOL 1, PROCEEDINGS | 2009年
基金：
中国国家自然科学基金;
关键词：
Text Detection; Text Location; Binary Text Extraction; BCR; Element Image Division;
D O I：
10.1109/ITCS.2009.40
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Information deficiency is a huge problem when researching on video indexing and retrieval. On the other hand, text in video frames implies lots of semantics inherently, and can provide supplemental but important information for video data processing. A smart approach for text detection, localization and extraction in video frames is presented in this paper. Here, block change rate (BCR for short) is imported to realize text detection and localization, and element image division in Lab color space is implied in binary text extraction. The approach has been implemented and tested with a variety of video sources, and the result of experiments is promising.
引用
收藏
页码：158 / +
页数：2
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