Text Extraction through Video Lip Reading Using Deep Learning

S. Chowdhury, Mushfiqur Rahman, M. T. Oyshi, Md. Arid Hasan
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引用次数: 0

Abstract

Automated text extraction from video data through lip reading can overcome the language barrier and open the door of opportunities in terms of security, connectivity and physical challenges. The conversion is possible by analyzing facial expression using deep learning method. But this conversion is a challenging task due to the varieties of pronunciation and accents of the same word causing different countenance. In this research, a method of converting video data to text data through lip reading has been proposed. The proposed method includes test dataset, image frame analysis and having text output from identified words. In the proposed technique, the test dataset will be organized by combining all the possible facial expressions of different words.
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使用深度学习通过视频唇读提取文本
通过唇读从视频数据中自动提取文本可以克服语言障碍,并在安全、连接和物理挑战方面打开机会之门。通过使用深度学习方法分析面部表情,可以实现转换。但这种转换是一项具有挑战性的任务,因为同一个单词的不同发音和口音会导致不同的表情。本研究提出了一种通过唇读将视频数据转换为文本数据的方法。提出的方法包括测试数据集、图像帧分析和从识别的单词中输出文本。在提出的技术中,测试数据集将通过组合不同单词的所有可能的面部表情来组织。
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