面向开源视频的深度学习情报分析系统设计与实现

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关键词： 情报分析； 开源视频； 深度学习； 自动语音识别； 神经机器翻译； 光学字符识别中图分类号：TN919.8⁃34 文献标识码： A 文章编号：1004⁃373X（2025）12⁃0167⁃12

Abstract：In allusion to the low efficiency of information extraction in traditional video intelligence analysis， a human ⁃ machine interaction video intelligence analysis system based on deep learning is designed to meet the needs of quickly extracting a large amount of video key intelligence. The system framework is designed with a layered structure around data collection， storage， processing， and application. The component ⁃ based design is used to realize the independent operation of functional modules and cutting ⁃ edge technologies such as deep learning based automatic speech recognition， neural machine translation， optical character recognition， and large model text summarization generation are integrated to provide end⁃to⁃end solutions， so as to achieve comprehensive video analysis functions. The functional testing results show that all modules can operate normally as designed. The performance testing results indicate that the system can perform stably and excellently in a real⁃time environment processing large⁃scale video data， with a response time within 3 s under high concurrency， supporting up to 20 000 concurrent users. The designed system can not only extract video intelligence efficiently， but also has an intuitive user interface， which can provide diverse intelligence analysis application services and meet the business needs of large ⁃ scale users in video analysis scenarios.

Keywords： intelligence analysis; open ⁃ source video; deep learning; automatic speech recognition; neural machine translation; optical character recognition

0 引 言

随着信息技术的迅猛发展和互联网的普及，开源视频资料已成为情报分析中的重要资源[1]。（剩余13049字）