Ticker text extraction from Bangla news videos

Aditya Tiwari, Hiranmay Ghosh
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引用次数: 3

Abstract

In this paper, a framework for recognition of Bangla ticker text1 from the Bangla news videos is presented. Tesseract OCR [1] has been used for Bangla script recognition. Tesseract OCR gives good results for text recognition in documents. But in case of images and videos, some processing is required beforehand. Approach here is to provide processed images to the Tesseract OCR to get better results than directly providing the raw video frames to the Tesseract OCR. The ticker text recognized can further be used for indexing of news videos on the basis of recognized keywords. Indexing of news videos is important for news monitoring agencies. Till now this is done manually. Automation of the monitoring process and indexing the news videos can save a lot of time as well as the efficiency of the news monitoring system.
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从孟加拉新闻视频中提取股票文本
本文提出了一种从孟加拉语新闻视频中识别孟加拉语文本的框架。Tesseract OCR[1]已被用于孟加拉文字识别。Tesseract OCR对文档中的文本识别有很好的效果。但如果是图像和视频,则需要事先进行一些处理。这里的方法是向Tesseract OCR提供处理过的图像,以获得比直接向Tesseract OCR提供原始视频帧更好的结果。识别出的行情文本可以进一步用于在识别关键字的基础上对新闻视频进行索引。新闻视频的索引是新闻监控机构的重要工作。到目前为止,这是手动完成的。监控过程的自动化和新闻视频的索引可以节省大量的时间,也可以提高新闻监控系统的效率。
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