提高视频转录数据可靠性的算法

F. M. Nazarov, Yarmatov Sherzodjon Shokir o’g’li, Eshtemirov Bunyod Sherali o’g’li
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引用次数: 1

摘要

目前,计算机网络上以视频和音频形式传输的数据正在迅速增长。随着媒体数据流量的增加,对数据进行定性处理和分析成为一项任务。视频数据的增长是对视频数据内容进行智能分析和转录以提取视频文件中包含的文本的最紧迫问题之一。在视频转录过程中,遵循的是将视频文件中的数据无差错地转换为文本的过程。视频转录过程对于听力受损和大规模视频网络数据的智能分析至关重要。迄今为止,人们对视频转录进行了大量的研究。然而,转录方面的缺陷仍然足以用于任意语言。本研究包括对视频转录算法和模型的理论研究,以及在此基础上的实验理论分析。
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Algorithms To Increase Data Reliability In Video Transcription
Currently, the transmission of data in the form of video and audio on computer networks is growing rapidly. Increasing the flow of media data makes it the task of qualitative data processing and analysis. The growth of video data is one of the most pressing issues in the intellectual analysis of the content of this video data and transcription to extract the texts contained in the video files. In the process of video transcription, the process of transferring the data in the video file to the text without errors is followed. The process of video transcription is important for the intellectual analysis of data in hearing-impaired and large- scale video networks. To date, a lot of research has been done on video transcription. Nevertheless, shortcomings in transcription remain sufficient for arbitrary language. This research includes theoretical research on the study of algorithms and models of video transcription, as well as a theoretical analysis of experiments based on them.
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