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Text Extraction through Video Lip Reading Using Deep Learning

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dc.contributor.author Chowdhury, S.M. Mazharul Hoque
dc.contributor.author Rahman, Mushfiqur
dc.contributor.author Oyshi, Marzan Tasnim
dc.contributor.author Hasan, Md. Arid
dc.date.accessioned 2021-11-17T10:39:35Z
dc.date.available 2021-11-17T10:39:35Z
dc.date.issued 2020
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6407
dc.description.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. en_US
dc.language.iso en_US en_US
dc.publisher Scopus en_US
dc.subject Automated en_US
dc.subject Audio en_US
dc.subject Conversion en_US
dc.subject Frame en_US
dc.subject Identification en_US
dc.subject Training Data en_US
dc.subject Video en_US
dc.subject Sequence en_US
dc.subject Word en_US
dc.title Text Extraction through Video Lip Reading Using Deep Learning en_US
dc.type Article en_US


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